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    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/tancik/fourier-feature-networks/blob/master/Experiments/3d_simple_nerf.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "NeCLL6bKJtiP",
        "colab_type": "text"
      },
      "source": [
        "# Simplified 3D NeRF"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "pCzjLe6ueo0D",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "!pip install -q livelossplot"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "K02MvVcvOgzy",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        },
        "outputId": "1830c55f-7598-42fc-df76-c90c893078b4"
      },
      "source": [
        "import jax\n",
        "from jax import random, grad, jit, vmap\n",
        "from jax.config import config\n",
        "from jax.lib import xla_bridge\n",
        "import jax.numpy as np\n",
        "from jax.experimental import stax\n",
        "from jax.experimental import optimizers\n",
        "\n",
        "from livelossplot import PlotLosses\n",
        "import matplotlib.pyplot as plt\n",
        "from tqdm.notebook import tqdm as tqdm\n",
        "\n",
        "import os\n",
        "\n",
        "import numpy as onp\n",
        "\n",
        "from jax.lib import xla_bridge\n",
        "print(f'Using {xla_bridge.get_backend().platform}')\n",
        "\n",
        "rng = random.PRNGKey(0)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Using gpu\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "q6BuI2ivNTQJ",
        "colab_type": "text"
      },
      "source": [
        "# Load Data"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ShNKZO9TOySJ",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 286
        },
        "outputId": "4ace9dcd-22fb-4884-f7bd-91debff4dc99"
      },
      "source": [
        "filename = 'lego_400.npz'\n",
        "if not os.path.exists(filename):\n",
        "    !gdown --id 108jNfjPITTsTA0lE6Kpg7Ei53BUVL-4n # Lego\n",
        "\n",
        "data = np.load(filename)\n",
        "images = data['images']\n",
        "poses = data['poses']\n",
        "focal = data['focal']\n",
        "H, W = images.shape[1:3]\n",
        "\n",
        "images, val_images, test_images = np.split(images[...,:3], [100,107], axis=0)\n",
        "poses, val_poses, test_poses = np.split(poses, [100,107], axis=0)\n",
        "\n",
        "print(val_images.shape, test_images.shape, focal)\n",
        "plt.imshow(test_images[0,...])\n",
        "plt.show()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "(7, 400, 400, 3) (13, 400, 400, 3) 555.5555155968841\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "aQ6e2eZUNdB7",
        "colab_type": "text"
      },
      "source": [
        "# Rendering Functions"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "5A_n_T6fMeg0",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "def get_rays(H, W, focal, c2w):\n",
        "    i, j = np.meshgrid(np.arange(W), np.arange(H), indexing='xy')\n",
        "    dirs = np.stack([(i-W*.5)/focal, -(j-H*.5)/focal, -np.ones_like(i)], -1)\n",
        "    rays_d = np.sum(dirs[..., np.newaxis, :] * c2w[:3,:3], -1)\n",
        "    rays_o = np.broadcast_to(c2w[:3,-1], rays_d.shape)\n",
        "    return np.stack([rays_o, rays_d], 0)\n",
        "\n",
        "get_rays = jit(get_rays, static_argnums=(0, 1, 2,))\n",
        "\n",
        "training_rays = np.stack([get_rays(H,W,focal,pose) for pose in poses], 1)\n",
        "training_data = np.concatenate([training_rays, images[None]])\n",
        "training_data = np.moveaxis(training_data, 0, -2)\n",
        "training_data = onp.array(np.reshape(training_data, [-1, 3, 3]))\n",
        "onp.random.shuffle(training_data)\n",
        "training_data = np.array(training_data)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "AZ-REysGO8yP",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "def render_rays(apply_fn, params, avals, bvals, key, rays, near, far, N_samples, rand=False, allret=False):\n",
        "    rays_o, rays_d = rays\n",
        "    \n",
        "    # Compute 3D query points\n",
        "    z_vals = np.linspace(near, far, N_samples) \n",
        "    if rand:\n",
        "        z_vals += random.uniform(key, shape=list(rays_o.shape[:-1]) + [N_samples]) * (far-near)/N_samples\n",
        "    pts = rays_o[...,None,:] + rays_d[...,None,:] * z_vals[...,:,None]\n",
        "    \n",
        "    # Run network\n",
        "    pts_flat = np.reshape(pts, [-1,3])\n",
        "    if avals is not None:\n",
        "        pts_flat = np.concatenate([avals * np.sin(pts_flat @ bvals.T), \n",
        "                                   avals * np.cos(pts_flat @ bvals.T)], axis=-1)\n",
        "    raw = apply_fn(params, pts_flat)\n",
        "    raw = np.reshape(raw, list(pts.shape[:-1]) + [4])\n",
        "    \n",
        "    # Compute opacities and colors\n",
        "    rgb, sigma_a = raw[...,:3], raw[...,3]\n",
        "    sigma_a = jax.nn.relu(sigma_a)\n",
        "    rgb = jax.nn.sigmoid(rgb) \n",
        "    \n",
        "    # Do volume rendering\n",
        "    dists = np.concatenate([z_vals[..., 1:] - z_vals[..., :-1], np.broadcast_to([1e10], z_vals[...,:1].shape)], -1) \n",
        "    alpha = 1.-np.exp(-sigma_a * dists)\n",
        "    trans = np.minimum(1., 1.-alpha + 1e-10)\n",
        "    trans = np.concatenate([np.ones_like(trans[...,:1]), trans[...,:-1]], -1)  \n",
        "    weights = alpha * np.cumprod(trans, -1)\n",
        "    \n",
        "    rgb_map = np.sum(weights[...,None] * rgb, -2) \n",
        "    acc_map = np.sum(weights, -1)\n",
        "    \n",
        "    if False:\n",
        "        rgb_map = rgb_map + (1.-acc_map[..., None])\n",
        "    \n",
        "    if not allret:\n",
        "        return rgb_map\n",
        "    \n",
        "    depth_map = np.sum(weights * z_vals, -1) \n",
        "\n",
        "    return rgb_map, depth_map, acc_map\n",
        "\n",
        "def render_fn_inner(params, avals, bvals, key, rays, rand, allret):\n",
        "    return render_rays(apply_fn, params, avals, bvals, key, rays, near=2., far=6., N_samples=N_samples, rand=rand, allret=allret)\n",
        "render_fn_inner = jit(render_fn_inner, static_argnums=(5, 6,))\n",
        "\n",
        "def render_fn(params, avals, bvals, key, rays, rand):\n",
        "    chunk = 5\n",
        "    for i in range(0, rays.shape[1], chunk):\n",
        "        out = render_fn_inner(params, avals, bvals, key, rays[:,i:i+chunk], rand, True)\n",
        "        if i==0:\n",
        "            rets = out\n",
        "        else:\n",
        "            rets = [np.concatenate([a, b], 0) for a, b in zip(rets, out)]\n",
        "    return rets\n",
        "\n"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "l62oCSscPY7W",
        "colab_type": "text"
      },
      "source": [
        "#Network Definition"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "TOl__n7cBVm5",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "def make_network(num_layers, num_channels):\n",
        "    layers = []\n",
        "    for i in range(num_layers-1):\n",
        "        layers.append(stax.Dense(num_channels))\n",
        "        layers.append(stax.Relu)\n",
        "    layers.append(stax.Dense(4))\n",
        "    return stax.serial(*layers)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "jwAzHv2_STDh",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "def loss_fn(params, avals, bvals, key, rays, target, stratified):\n",
        "    rgb = render_fn_inner(params, avals, bvals, key, rays, stratified, False)\n",
        "    l = np.mean(np.square(rgb - target))\n",
        "    return l\n",
        "\n",
        "def train_model(lr, iters, avals, bvals, stratified, name='', plot_groups=None):\n",
        "    rng = random.PRNGKey(0)\n",
        "    if bvals is not None:\n",
        "        init_shape = (-1, bvals.shape[0]*2)\n",
        "    else:\n",
        "        init_shape = (-1, 3)\n",
        "    _, net_params = init_fn(rng, init_shape)\n",
        "\n",
        "    opt_init, opt_update, get_params = optimizers.adam(lr)\n",
        "    opt_state = opt_init(net_params)\n",
        "\n",
        "    @jit\n",
        "    def step_fn(i, opt_state, avals, bvals, key, rays, target):\n",
        "        params = get_params(opt_state)\n",
        "        g = grad(loss_fn)(params, avals, bvals, key, rays, target, stratified)\n",
        "        return opt_update(i, g, opt_state)\n",
        "\n",
        "    if plot_groups is not None:\n",
        "        plot_groups['PSNR'].append(f'{name}')\n",
        "    b_i = 0\n",
        "    xs = []\n",
        "    psnrs = []\n",
        "    import time\n",
        "    t = time.time()\n",
        "    t0 = t\n",
        "    for i in range(iters+1):\n",
        "        batch = training_data[b_i:b_i+batch_size]\n",
        "        b_i += batch_size\n",
        "        rays = np.moveaxis(batch[:,:2], 1, 0)\n",
        "        target = batch[:,2]\n",
        "        if b_i >= training_data.shape[0]:\n",
        "            b_i = 0\n",
        "\n",
        "        rng, key = random.split(rng)\n",
        "        opt_state = step_fn(i, opt_state, avals, bvals, key, rays, target)  \n",
        "        \n",
        "        if i%1000==0 or i==iters:\n",
        "            psnr = []\n",
        "            print(i, (time.time() - t) / 200, 'secs per iter', (time.time()-t0)/60., 'total mins')\n",
        "            num_vals = val_poses.shape[0] if i==iters else 1\n",
        "            for v in range(num_vals):\n",
        "                # Render the holdout view for logging\n",
        "                rays = get_rays(H, W, focal, val_poses[v,...])\n",
        "                rng, key = random.split(rng)\n",
        "                rgb, depth, acc = render_fn(get_params(opt_state), avals, bvals, key, rays, False)\n",
        "                \n",
        "                loss = np.mean(np.square(rgb - val_images[v,...]))\n",
        "                psnr.append(-10. * np.log10(loss))\n",
        "            psnr = np.mean(np.array(psnr))\n",
        "            psnrs.append(psnr)\n",
        "            xs.append(i)\n",
        "            if plot_groups is not None:\n",
        "                plotlosses_model.update({f'{name}':psnr}, current_step=i)\n",
        "                plotlosses_model.send()\n",
        "            t = time.time()\n",
        "    results = {\n",
        "        'state': get_params(opt_state),\n",
        "        'psnrs': psnrs,\n",
        "        'avals': avals,\n",
        "        'bvals': bvals,\n",
        "        'val_image': rgb,\n",
        "        'xs': xs\n",
        "    }\n",
        "    return results"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "0HDAo6E1R4LT",
        "colab_type": "text"
      },
      "source": [
        "## Train network with different embeddings\n",
        "\n",
        "Our 3D input embedding is of the form: \\\n",
        "> $\\gamma(\\mathbf v) = (a_0 \\sin(\\pi b_0^\\top \\mathbf v), a_0 \\cos(\\pi b_0^\\top \\mathbf v),a_1 \\sin(\\pi b_1^\\top \\mathbf v), a_1 \\cos(\\pi b_1^\\top \\mathbf v),...)$\n",
        "\n",
        "This creates a kernel of the form: \\\n",
        "> $k_\\gamma(\\mathbf v_1, \\mathbf v_2) = \\sum_{i=1}^m a_i^2 \\cos(\\pi b_i^\\top (\\mathbf v_1 - \\mathbf v_2))$"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "VyJzYz4paWIE",
        "colab_type": "code",
        "cellView": "both",
        "colab": {}
      },
      "source": [
        "#@title Train Models\n",
        "disable_jit = False #@param {type:\"boolean\"}\n",
        "\n",
        "live_plot = True #@param {type:\"boolean\"}\n",
        "reset_plots = True #@param {type:\"boolean\"}\n",
        "\n",
        "#@markdown ##Network Params\n",
        "lr =  5e-4#@param\n",
        "batch_size = 1024 #@param\n",
        "N_samples = 128 #@param\n",
        "training_steps =  50000#@param\n",
        "num_layers =  4#@param\n",
        "layer_width = 256 #@param\n",
        "stratified_sampling = True #@param {type:\"boolean\"}\n",
        "rotate = True #@param {type:\"boolean\"}\n",
        "\n",
        "#@markdown ##Encoder Params\n",
        "embedding_size = 256 #@param\n",
        "max_posenc_log_scale =  8#@param\n",
        "#@markdown gaussian_scales should be a list of scales (things like np.arange(...) allowed)\n",
        "gaussian_scales = [38] #@param\n",
        "#@markdown\n",
        "include_no_encoding = True #@param {type:\"boolean\"}\n",
        "include_basic = True #@param {type:\"boolean\"}\n",
        "include_posenc = False #@param {type:\"boolean\"}\n",
        "include_new_posenc = True #@param {type:\"boolean\"}\n",
        "include_gaussian = True #@param {type:\"boolean\"}\n",
        "\n",
        "config.update('jax_disable_jit', disable_jit)\n",
        "\n",
        "init_fn, apply_fn = make_network(num_layers, layer_width)\n",
        "\n",
        "enc_dict = {}\n",
        "\n",
        "if include_basic:\n",
        "    bvals = np.eye(3)\n",
        "    avals = np.ones((bvals.shape[0])) \n",
        "    enc_dict['basic'] = (avals, bvals)\n",
        "\n",
        "if include_posenc:\n",
        "    bvals = 2.**np.arange(max_posenc_log_scale)\n",
        "    bvals = np.reshape(np.eye(3)*bvals[:,None,None], [len(bvals)*3, 3])\n",
        "    avals = np.ones((bvals.shape[0])) \n",
        "    enc_dict['posenc'] = (avals, bvals)\n",
        "\n",
        "if include_new_posenc:\n",
        "    bvals = 2.**np.linspace(0,max_posenc_log_scale,embedding_size//3) - 1\n",
        "    bvals = np.reshape(np.eye(3)*bvals[:,None,None], [len(bvals)*3, 3])\n",
        "    avals = np.ones((bvals.shape[0]))\n",
        "    if rotate:\n",
        "        rot = np.array([[(2**.5)/2,-(2**.5)/2,0],[(2**.5)/2,(2**.5)/2,0],[0,0,1]])\n",
        "        bvals = bvals @ rot.T\n",
        "        rot = np.array([[1,0,0],[0,(2**.5)/2,-(2**.5)/2],[0,(2**.5)/2,(2**.5)/2]])\n",
        "        bvals = bvals @ rot.T\n",
        "    enc_dict['posenc_new'] = (avals, bvals)\n",
        "\n",
        "if include_gaussian:\n",
        "    bvals = random.normal(rng, (embedding_size, 3))\n",
        "    avals = np.ones((bvals.shape[0]))\n",
        "    for scale in gaussian_scales:\n",
        "        enc_dict['gaussian_%.2f' % scale] = (avals, bvals * scale)\n",
        "\n",
        "if live_plot:\n",
        "    if reset_plots:\n",
        "        plt_groups = {'PSNR':[]}\n",
        "        # plotlosses_model = PlotLosses()\n",
        "        plotlosses_model = PlotLosses(groups=plt_groups)\n",
        "else:\n",
        "    plt_groups = None\n",
        "\n",
        "if reset_plots:\n",
        "    outputs = {}\n",
        "if include_no_encoding:\n",
        "    outputs['no_encoding'] = train_model(lr, training_steps, None, None, stratified_sampling, name='no encodings', plot_groups=plt_groups)\n",
        "\n",
        "for k in tqdm(enc_dict, leave=False):\n",
        "    outputs[k] = train_model(lr, training_steps, *enc_dict[k], stratified_sampling, name=k, plot_groups=plt_groups)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "W-j7TXjVbRTD",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 797
        },
        "outputId": "2aa96e7f-490d-4db2-f78e-9ca0ac1836aa"
      },
      "source": [
        "#@title Plot Results\n",
        "\n",
        "bar_graph = True #@param {type:\"boolean\"}\n",
        "renders_viz = True #@param {type:\"boolean\"}\n",
        "\n",
        "names = list(outputs.keys())\n",
        "xvals = np.arange(len(names))\n",
        "test_value = np.array([outputs[n]['psnrs'][-1] for n in names])\n",
        "inds = np.argsort(test_value)\n",
        "names_sort = [names[i] for i in inds]\n",
        "\n",
        "if bar_graph:\n",
        "    plt.figure(figsize=(15,5))\n",
        "    plt.bar(xvals, test_value[inds], alpha=.5)\n",
        "    # plt.xticks(xvals, names_sort, rotation=60)\n",
        "    plt.xticks([])\n",
        "    plt.ylim(test_value.min()-1, test_value.max()+1)\n",
        "    plt.title(f'PSNR of rendered view')\n",
        "    plt.table(cellText=[['%.2f' % x for x in test_value[inds].tolist()]],\n",
        "        rowLabels=['PSNR'],\n",
        "        colLabels=names_sort,\n",
        "        loc='bottom',\n",
        "        bbox=[0, -.2, 1, 0.2])\n",
        "    plt.show()\n",
        "\n",
        "if renders_viz:\n",
        "    print('----------------------------------------')\n",
        "    print('                  Test')\n",
        "    print('----------------------------------------')\n",
        "    plt.figure(figsize=(28,6))\n",
        "    for i, p in enumerate(names_sort):\n",
        "        plt.subplot(1,len(names)+1,i+1)\n",
        "        plt.imshow(outputs[p]['val_image'])\n",
        "        plt.title(p)\n",
        "\n",
        "    plt.subplot(1,len(names)+1,len(names)+1)\n",
        "    plt.imshow(testimg)\n",
        "    plt.title('ground truth')\n",
        "    plt.show()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1080x360 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        },
        {
          "output_type": "stream",
          "text": [
            "----------------------------------------\n",
            "                  Test\n",
            "----------------------------------------\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 2016x432 with 2 Axes>"
            ],
            "image/png": 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o9bKwZbzEjc8b5tkX1xmsFWEYcCrq/4S8zfJRl5M+sjHGGGOMMcacPvcf6PHlry7Rn2wRl4SrXjTOjkuHGNvSYMtlQ1AKIYig30eSPrv3KP/5Ny7n8osbRNE5uaw35px1Tv4bs9zqrJoHYubckgdMQhDkTY3zzZQDkz3mmwk+K/5eAqCIFGGYCHEIgzXHxdtq3Pj8YfZsr9AYWA7D9DEDK5E8cAsDRxQ6ynFIpRRRKUeUSyGlOCCOHHHoiIrr/BIQBY4wcIRhfn0sdDPGGGOMMcaYc8dSx/OXn5nh81+ZJ5trUx8I2H35ALv31CgPxUgQgET4NMLPtKDV5bprQ9791svZvql2tk/fmFXlnB2Wn0cjT3ybOTOi0DE0GDFQC2i1lIWlBK9Ks5Vx3/42glAvB9QqAVs3lCmXBQmKPEzykCtwQikShgccz7likOn5FER46FCXpVZGHDuq1YByyVGJHYFAox4yOhazcV2J2kBEFDjSxDM13WfiaMLhyR7NVkqSZGSZ0k8yUMGrkqS6EqZmmZJ5JRMly6zK0BhjjDHGGHNuufmbS/zcHz7Mn5dCrrtOCBoVnETQS9BIwDmWDndYONxl/R4lDB3XXVXiTT+1gz//6FGuuiSkMaKEElCrZtx5myMjo99Kue/AInfv67J9Q8xsO6PfygjLjtn5fG0UhYL3ii2VzIVA9ByouBKRs38S5lFEYHS4zIbxEpfsrHPRhgq1suPARJcv3rrA/QdaJEXrahw5tm+ocOP1w7zqhjEu2lKmVnEEIbii7lAVfKYkmafVy7j/YI/Pfm2BfRN9KhXH9u0Vtm+psGm8RKMmuNBRLTviWki1HhJEDhGHeiFJhHZXabWg2eyxsNBndqbP1JEu+w91uPeBLgcPt5mZ7dPpe/qJp5960syTpB5vW6yYVUBVrYzRGGOMMU/I1lPnPgFKJcefvusKai7gl995Dw8fXHrMx25bV+JDv3kR113fIBiuoK2MhfunWZxeotVSWr7G7ssqNHbFEFRoJUI7iik3EgJRRAWH0u07UEU1LxjoNSGKhaTnceUypAm9riNsrOPw4Qk6zS4HJnpcc3GdT/zvad7/F/vZ+2DzzP6ijDm1blHVqx954zlbEWbOrjAUtm+u84JnD/HcZzbYsanMmuEQ5zxHp/oMVAI+8umUw9NdvFd6fc89D7dYbKVMzyd89w2jXLGnznAjJIrAFVVh4iDEUS0JF20S6vWARGHNaMzokKMSCwGKLA/RByRMkdSjmYAKeCB0DDdCWBOgroK6Oql39PtwdKLD1GSHB++b57Ofm+HWO9tMzydoN68ozLxaEGaMMcYYY4w5I2rVkOc8a5h3/fpurrhykOZMl1+e2s57/mIfDzy8xCNrUw5M9njHBx7iTbqV5z1fiIYrDGwZIqhEJEdT0rkeWasPVEB7VBtlqtUUCaSoQsgHJZeWOyYV8BGMCyoKSNFtFQMgMs3mjSFoHaSO7yjrKmuIU3j/303wjW/OPuocjVnNLAgzjxI4YeN4lRuuHeZVN4yya2OFwYojCPNoqhzGvODZdfYdbPPpryS0Oimqilc4NNXlE1+aYa6Z8l0LCc+9cpB1ozFxTLEzpCIOAqBeCahWHEGglCIInEf6eYWZ95oHXijay2eS5SVlyycpSOQgCnC1GOolglKJqASbogpja0oMDDjSLCMIPTff7kmmPKnPd7M0xhhjjDHGmNOtWgn4mdfv4Fd+YTtjNaX70Ay1RoUffPUoWZLx2++5l4Wl9Fuek3n43F1dBv/3NCNDEZde4QiGy9SjAKTNVCcjDSPUBeAzmF6CfkaWKq7kkEggdPnFFTuIFSGZBMX3rlhjuTw0k3w4M/0FT/dIRlQK+Kn/uIVXfu9O3vDGf+Nfv3T0LP0GjTn1TioIE5GHgCaQAamqXi0iI8DfANuAh4DvV9W5kztNcyaVSgHbN1d58bVDXLajSr3kCPISLbwKtchx0cYSL7u+wb5DXb7xwBJppqhXPDC9kPC5r88x30yZa6a85LohNo+XiGPguKrtQCByissPjM8U1XzGF+qRTPKdJ8mrw5aDMVl+sgqEIaggEgABjoAoElSh0YjYuLHCnl01pmYSFpsZ/UQRJyznasYYY4wxxpxNtqY6f+3YMchbf34nr3zJKMPSZ+a2GWbvm6W2ZZgNV47x+teuY2o+5ff+5N5HrU3aHc/H/mWOflf5vZ+AXZcNIoMxcafE+K6A2kVlfDdBmylBJYBugt/fJGslRINFGOYEEPDC8kgkKQf5a4lA7PLrUoCM12llJZKFjNJYifJoCYmELS7hx753PbfcPsNSK33Uz2jManQqKsJerKrTx33/ZuCzqvpOEXlz8f2vnYLXMWdI4IQdG8rs3lymWnKEga5sVCBeCRAGqwFX7qnxyuc1ODLT58hsj2w5LPPKYivla3sXaXYyFlop3379MDs2lSmVBReA02JHSVVUPJqBZhniwPn8dlFFMoD86+UgDEdRXubyj0vQ/LL8Xw/N0MwjeKpVx+hYiY0bSjx8qM9iK8vbLZE8XDPGGGOMMebsszXVeWbHxhrv/4NLueFFQyQTbQ5/ZYKJA22yoIxrKn6xw/BwlV/52U0kifCu993zqGO02yn/+K8zaKa8/9cjhjYJpfGY0toAnW6TqiMeriCRQ2sBYSUgO7SEn+vmo2lcHoKRKnQ9ZKCBB19cSiEEgu4aotUM0cxT21wjHAjBCa2ZhJtvmmZmtsXG8Qr32Lwwc55wp+GYrwL+ovj6L4DvPg2vYU6jcuRY14iohILi8ap4UXCKCyAIlHJJWD8a8ZLrh3jx1Q0a9ehbWg5VodXNuOP+Jn/7z9N89P9M8/V7lphfyvCZIuRBmHqft1VmHhGfh1/khWN5d7siHsiKoEuB5fle/lg5rxKgXvCZJ00yup2UbjvFOU+9HrBmTZnhRkgQ2M6jxhhjjDHmnGdrqlXMBfDy5w9z1cUxOtfnyF2z3H1Xi/leTOBT6sMBbjAA36dRE/7Tz63nF16/hTB49AiXJFU+ftMs/+vLs8wdauWtkP0+EgbEa2tIHORtjkGANGKCnYO47YMQhRAKDEfwrDXIpSOwpgJXDMH2OjpQgo01/OVrWQoH8Oqoba8TNiLUw8z+Nv/yicPs3buAOrjmqkHiyGFTZsz54GSDMAU+LSK3iMhPFreNq+pE8fURYPwkX8OcQSKQZsqRqR6TR3t02p4kUzLVfHi9gHNCECqVqrBtXYlXv2SEay+rU6+GefXtcZJUeeBQm099aY7PfGWeBw526fXyUEu9L4Y1Ks4pzknRop4HZfkOJxwLwJT8H07yTzfivIyXqAQEaKZkSUpnKWNxts/SUp809ZRiYbAeMVALCQO3Ut1mjDHGGGPMOcDWVOcZn8GdD7Zp7ltCvDK6Z4ThHaOEYUgW1yjXS0gQgSiS9Biqh7zhhzfxbc8bJThBGPauv5zk3jlI2wqlkLTfgSTNt6OEfGyMOKQUIOsqyPZBGC5DKOj+RdQBm6tos4euLeP2DMBIRC8NoRQwuLOOKwVkXc/hvYt86TMTTE21yVRptVO2bizzxn93EZftGnjUms+Y1eZkWyOfr6qHRGQt8M8icvfxd6qqnmgr3+JN/icf6z5zZonIt4RD7V7G1/Y22TJeohQ61q2LqdQEiTR/rOSthUGgVGvCZRdVeM1LRlhsZdx+zxJLnW/tHfdemZrvs+9Ql4VmSpZmqBbHEcU5cByrBFuZA0a+9W/exph/j5N8wGPskFIE5RIEIeqV1HtazYy5mYT5xR7dXkKSKOqFMBAqpYBS5HDOkY9gMMYYY4wx5qx7WmsqW0+d2+55qMdnvzDNaysBtU11LrluhPkDHaIAGpvLxaxjB60WIp5LdlV56y9tp1ZK+dhn5/MJMIXN42Xe/FO72LB1gKikdPfOMP3NWQYvyRh8xgiEASD58fD5bLB6BGUHS338Q038wTbh1kH8wSX8/iWizYOIc1R3lmCwAgLdhYR7vzHPQ3fPEUaOKy4Z4Mh0QuveNmONiFe8ZozLd8X89n++j4NT/bP1qzXmpJ1UEKaqh4rrSRH5e+Ba4KiIrFfVCRFZD0ye4Ll/BvwZwInCMnN6RaGjWgkJA+gnSqeX4b2SZsq+I13+6UtzCMKLr2mwYWOM1BUNFYcUs8DyIfa1mnDNJXXmlzKWOhn3PNSm28tncYWBUK8EbFpb4hnbKozWHa74c7siBBPhuJZIWan8Es1vL7Yxya9CgXIAlQgqMcQx6iDLlNZiyvSRPgvNPt00IUmVbgf6vXwYfxQKcehY3ijFhuUbY4wxxpiz7emuqWw9dW6bmmrx1vf1mFvIeOP3baS6oUa8vYpvJohz4Bxk0JsDp12iwPHcZw3y+2/Zw30P3cmd97UAeN416/nVn97Ad904BvMt2rcfYfqhFq1OSHy0w8D6DtKo5jtEqgNxrJQ4xAEMl3AKHOpCOyWohJAoGpeQi0ahFgOwcLTPbf82zcTBJSoR7N5dp5U45hZ7lEsB7Z7nlr0tegSsW1+xIMysak87CBORGuBUtVl8/XLgbcDHgNcD7yyu/9epOFFzag3UIzaMx6wfKxGIcHQ6YWKqx2I7Jcs87U7KNx9qkWZKp6e87LoGm7fG1AY0H7yIrLQuOgcjwwHfdk2DXqb8w2dnePhglygSRhshOzaUuWp3nWdfXGPDaEQ5EkKXzxpbCcGK92rR5Vlgy0GYoM7lZcNRAJUAqiFSjqEcoWFAmiqLs30mD3eYX0joJhnqlCQROi1Pt+3xGZQiRyl2BE5wIqiohWHGGGOMMeassTXV6larOHZtq3JgImFmvveo+x+eSvl//3KC+Y7yph/bTG1jDclC0skuQbVHmnqmvzlNSokNoRCFwkW763z4jy7j+lffzI03rOGdv76Ti7bH6PQindsOMXnUkwQDjO6qMHpxDBXBtzpIvZKPj6GoClsOw0KHjJVxtRgqIRxuEcQV2DGGxnkcMP1wmy9+boqp6Q5l5xkZiMgy5fY7myw0ExBIUs8d9zVpLibMLyZn7HdszOlwMhVh48DfSz4tLwT+SlU/KSI3Ax8RkTcADwPff/KnaU4VJzDUiNm2qczVlw5w+Y4a9UrI3fs6fOqLs9x3oE03U7wqnV7CPftbJKnSTzwv7Q+z/aKYat0TOMWJrHzgEDlYMxby7c8ZolINOHCoR+xgw2jElrUx60djRhsBjXpAHAqB84ijqAI7FoThixDMg3jQMECdQ0oOqgFSjfPdTaKIzDl6nZTZyS6Th9osLCT0Eo86UBH6PaXbUXq9PPAqlx2VshCGNuTRGGOMMcacE2xNtUpt21bnLf9hJz/wHeN85OPTvOO9d7Nvf+tRj5tdzHj3R46wbiTm3//AeqI1FdKeo3n/LPOTSyx2IzSGkb4QuRRJAy57Vp17P/8CNPVs2hSR7J9n8euHWGiHaBAxNBYxduUAbiBk7utTTN02zZaXbKS0aaAoWBDydhryPCwAqTtIPLpnHOIKAmR9z4F7m3zxX6eYbyY4gT6eXivh8MEO8800r1HweUdN4JT77muy/2DnDP+2jTm1nnYQpqoPAs98jNtngJeczEmZ08M5GG7E7Npe5YZnN7jhqiG2bshLYTetL5FlsLCUcniqSz9VVJVuP+XBiTaf/Cr0EuVl2TA7d8XUB5QoyGeGOQfihKAE66OIl5YGWVxIcRnUy4562VGJHXEsxAGELh+OLwAr7Y+aj+3yivh8NhhBCHGIlB1Si6AaQylCXUCSKu25HtNHO8xM9lmY79Pr+3ymvgjee3p96PWUJPWoQqUSUKsGhIEgloQZY4wxxpizzNZUq9PlFw/yx394Nc+/OEQ04w0/sJZeu8+bfu8uuj3/qMcvLGV85IszXL67wjXXCNFoiVowSjxSRyZ6tCeX8J0SKhWEPo4ymzaF+IU+nTuPMHnPPM20ShiHxD6jVJK8UECEpbmMqSMpo/ctUhqOoVY61h65XG2gAlEM9SoSlQDoLCY8dNcCt3xtlumFfKxMIEJPlV43pdzq4X0+q9l7jwhEkXDRjgHCry7QT23mslm9TnZYvlklRGBkuMTu7RVedPUQL71miB2bY6oVQT1UKhHf/oIhFpdSPv6FGabmuqSZ4r3S7aXsm2jTSzy9RHm5H954GRYAACAASURBVOLiPSUaDcEF+UXC/AOHKhA1AtZUApxC4ITA5Z8eBLI8F8wXLZEUFWDF1xmQ5dVhGoVQCfMArB5DpQRhSKbQ7SQszvaYnewyN5vQbqZ0u57UK4qQFXPO+mlewuuzfEOAUjmgVgsIQsHZVifGGGOMMcaYp6BScjzvmlF+6Wd3cP0zAnoTi7RnWgzuHOUHv3sMDXbyH3/z3sd87r98eZF3sJ+3inD1dcO4oZgAYaCZEboBahuq+QB9cWgf/HyHuTsmmTvcJXE1hjfVGRiP8d2M2toor3IQpbFpgJH9faqjZegnEAmUomIoclEVVipBpVpsMgaLk13uuXWG/fuWaNQChhtlHj7UY3YhRQR6An3NkEhwApnPu2y8h+E1IQM1aFtRmFnFLAi7QDQGY7ZuLHPtFQO88KpBtm+OqNfyNzYvUC0L2zbFfNdLRmi2Pf/8bzPMN/tk/lgYduBoh898TelnSuaHeOblFYaG8gH2ThTJwHkIA4eWQMhngC3vCOlQRIqWyOWZYN7nM8E8RQgmEIUwECMDEQxUoBSjIiT9jHazx9xkl9mZPs1mRqeV0e1kRdWXkClk3pN58iAvA0SQAEolx+BAQCkWAre8G6UNCTPGGGOMMcY8vnIp5C1vup4f+b6IdQ1Hb9809908iZeQbVHE6K4hfuK1m5idSnjre/Y95jE+c/MSDx15kP/yqzt4wQ0jhCMRtX6FWuYJGxEEDs0c/ugSc18/xNS8Q0t1xrfWaOyqEdQDyDQPt/oeein1NQE7XrqWqCJQFzRLoaN5UQEClUp+EUEVZva3ufmmSdqLPdaORlz6rFFu+doC3qUQePqpEsQCDkLJixky9YhCkkGaKrt3DXF0eubM/gGMOYUsCLsAlEsBI8MRF20t86w9Nbasj6hW8hAMlvu9oV4Rdm8r8+qXjdBsZXzx9jma7YTlrCrNMiZmutx0+zxB6KjWHVdcWiaOwKUgWd7m6ARcCMs7P6JahGLHhuOjgqjP38iXq8IAyjEMRkgjhnodogCfebqtPkuzXWamuszNp7Ranm4ro9PJSFJd6axUlCxTsuVDIywXJwehY3goYmQoZHqunw+TzCwIM8YYY4wxxjy+v/nTF/HKVwTQSZi6ZYKHvzlPmxKDAxVCJ5D1iaMSb/yRrRw8kvKBjx4kfcRao5/Cvfu7fPCTk+zYGLNhzwDhhhLMJpAJ2vH0980ydfsRWlkZV6+zbnedgR0VSDM6tx4inekQjw9SesYImoAsdojbCdp26MEeSwcWkZE69WevhzUDUM5bIdO+Z+LuRb5w0xT9bkKjLOy5ZJA77upx7/4OqVfCyJGpBycEQT5bPxBFJcKVhGoxSqdarZyNP4Exp4w72ydwKslxF3NMEAjVsrBhTcy64Yg40uOGxefzuZaHH9Yrjst2V3nNS0e4YucA1VJIEBQ7LRZtjt1+xpGZLhOTffodxfUVyRSnHrcSPfki8PJ5CLZ8WRmEr5B6SDWvBMNBtQyjJRitIo0BiBxpktJa6DIz0WLiUJvJ6YSFhYylxZTmUkqnn4deieYtkVmWt0imHjIv+CKIy3e3FAYGQjaMx9SrAYG1RxpjjDHGGGOehG2DiwRJn2QxZf/DPSZaZeh6Qt8nGgghBPF91owF/OKPb+E7XzJOFD16vZFmyl9/cobfev9h9t/dQgEZjvHdhKU7jjBxxxRzSRUkYGQ8ZHBbGSk5lm6f4tBti0wvRCwuCtpNSPtCe97BQBmaPXrTCWllgPiiEWSsDuUSmint+YQ7vzTDpz97lMWllDQDvGdussfe++bxReWAAHEkREFeNBE5jwsC+ppXk0G+trzs4jLDjfhM/eqNOeXOm4owizQen2pextrpedJUUa8rm4kUj0AEQucZrApXP7NOs5Wx2Mp48HCLLFNKsTA8ELJjY4XLdpZYNxIQeY+kgri84mvZsS/zXSCV5aH4+U34PABDQYIIrUTISAyNMpRjvEDaTWgt9Jib7jE712dxMaPd8nk7ZM/nb+ACmQqqChQtkR68Sv7S5L3sXvMdM8slx7o1MeNjMQtLCUnKypu6McYYY4wxxjyWD33iKG/fupnyUIld161Dv9FCW30GN1WIB0sQBtDvQ7fHxTtL/O4vbafdSfj0Fx7dQhg4UOfoRxGkgl9o07x7ksmDfdpBnVI1IEkyomoesCFCe87TkxprtwwydnEFGauSHWizcH+LdNZRHi5RvnyE0nAFN1aFOJ8HtnC0xx1fm+G++5fodn0+SkY9c4ln770t0swXO0PmnT2BCCKQZUqaeHwImc+XjZnP14yDZeX5zxnlHz85ccb/DsacCudNEGZOrJ94FpspDx/qcmhrhY1rIupVTyBBURN4/KQsJXTC8IDjhucM0up6PvrP0Gz3GWtE7NlW5pIdFfZsKbNtbUAl0JUZYBTXy7v0osdaI5dDqTwEA7K8z5w4RKsRNGIYKkMc4b2S9Po0Z/vMz/SYWUhYanpaLU+7ldHvZXgVVITMg6oieLwqqRcyLys/i+Y53ErLZuiEWi1k/dqYiake3V5GZu2RxhhjjDHGmMfxoY8d4blX1njVc4YZHi9z2bUhnckujfGYsBbmw+uJodsGhEt2V3n7z+/hgQe+wQOHl1aOU6kEvON3ruR7bqixYTwmOzzH9DcmWVoSunGdddtrDKyJSZoZ9fUxEgiaeWoXDdPqNqmvi3EDUf5J/1yH9lyP1kLA5rVV2DyAGzw2D2zqwSVu/eoUE0e6dDqeZjujlwhRCC1VWkkfHwR5FYMWxRIKaQqJKknHE5VTVMK8iEKV0OXrvTVj0Vn6Sxhz8iwIuwAkiWdyus/dD7QZG4wYHQypVcsETgiX38mgqKoCUSESZbQR8PIXNiiXHHfcu8T4qOOSrWW2r4tZ0wgZqDri0LM8dl7gWIWZKurzTxZE80H5RRfmylwwLcdQjZBGBI0SGoX4LKPfTlicTZib7TG7kLC0pLRbnnY7I0l83mQp+VB89QLiyfRYOyQqCD5/OZ+/pitCMREoxcLoSMToUMTsfN+CsFVMxCr6jDHGGGPM6Tcx2ePNf/AgvHEjL3/uOLX1VWIHSSshakQQgGbQvK9DdW1CuEl41vVVPvyeXdzwQ7fT63su3V7hN97yLF59Y424m9Dde4Spe2ZZ7JfRgRpbdlUZ2FJBYqE85vOZxj0PWUp9raMyNkIQ5mscPdKkd/8kcaNGZbRMtHsYqVfyQoDEs+/ORb5xyxRp4rnsGXWGBmJu29vkjvs7dPpQihwuEyLniR30s4x+J6XdAxEHToidEKPEcZYXUHil11eyLN+YcnSkxMxs72z/aYx5ys6bIGx5LSzHfW2O6fU9Bya6fEmEMHCUS45LLipRrwguyFsbcYIUbYwOIQLWDoe89LmD7N4c45OUDSMBwwMBlZIQxxCEUvRBLodoAIpmeQi2PAg/r8oq7heBapxPXxyM0IEYogBNUrqthPnZPnNzfeYW0jwEayudTl655YukLfOaV4I5JTtuJpieIATzuvw1RKGjMRAyMhRSLjn6iX/0L8ysDvYvuzHGGGOMOUPu2dflx9/+MG/7CeVHv2c9lfEykmb0Hm5CqHQmlzi0r8tYOsja4R4SOK6+epgP/v5l/N5/3cdbfn4H3/NtZdxim4W9k8w/1KTtq7jhOtsvq1HeUCKZaNG7+wjtNgzsGKKyvQE9hYUWQSfN6wqaHZYOt/CDDdZdu4ZoxyDUQhShs5hw99cWuGfvPBEZW7dUWbdpkJu+ssDRWc9APaLVzRAHEuQdneUg3ykyc2XiutDp5KNoCARxQuCUyEEv8wQIiVcqsbB9iwVhZnU6b4KwZbYuPrFerwjDblsgDoXQDbF7e4laJcBxXBiGgM9Dq1iFsWpAfUuJfi+gFCnlWIgiIQzJd4Isjq+6vPtjPhRffb6V40oApqBhAKUQqiFSj6AWoU7IugmdpYSFuZS5hT4LzYxmU2m1lV7Pk2VFmyPFcYsyoMwXFxV8sROlomgxI8ytzCXLz9M5iEKhUg4YHoqoVQKWWmkelJnHdazh9NxxLp2LMcYYY4w5/80spLz3oxNctmuQ518rhI2YfjuldXCebjtBSzGddkqSQcn1CVyJV3zHKC998RpGhx3ZkQUW904zNdmnk5aJQ1g7HlDZUEb7GYe/coTunFJbUyFN8k6Y7kxGuhQwsCYgm2rTTwKCdWsYfNYago11cA5FmZvocvvNs+x7cAm8J4yVWizc+c0OU3MehwPxBMWukIFTYgdxKPQJEBXEQxQ7+qniAggCKAVCKJ4sjqiGjooqC62MLZtr7L23Taudnu0/izFPyXkXhJkTU6DTy3j4cJebbl0gjhziGuzeVqZSdjjABXxL4uHwBE4JK6AlB2jxppkXduW7Ty4HYOQtj1pUgmUUbZDkfephgMYhlANcNUQrAQqknYRWM2N+PmGumdBc8jSXPO22kvTznSD9yowxX1T95cFY5iFVh/eyPIoMjgvB8hFlxQw0yQfmB06IIsdwI2KwHjI918enFqk8WVZ1aYwxxhhjLmR793X49fft57+N72DPTqGyrkIUOdJOSvpAE8Ej6iAIgZRGNYZI6e6bZuGb00wvOrQyiJDhSwGVRgSRQ1sJC0sRBAGbdzeobisjQzWSB9scvmOJtZuE6liJyuUDyHAVGa1AIJApE/e3uOXf5jh0tI2q4tTTzvIROUfnFSHvrlHNq8BCB/nOYyk+dPS9y7tuvJJlShjk6yaHEmqGBI5+ImSaFz1EIWzbVGHzxgp339c8y38RY54aC8JWocDJym6IT5UqtDopDxzoUI7zFslS7Ni2qUSl7FaGy5PlQZKTfLq9C/K+QiHfRUTc8mD843aCXB6EX1wkK3aGFIcGRQhWckglwMduJQRbWsyYX0iZW0pptjxLRQiWJh7v87ZGX/Q5Bix/r2QqpCr5rpA+Pwktqtnc8gYAqiszpGQ5wZF829/BekhjIKQUO5I0O4m/yIWh+NWBFGGYpWHGGGOMMeYC9cVbZnn7B2J+7bUbueTKOtGaEtlRoTpcpjoaEw3H4AI0Be2kdO+bZPK+RWa7JUqNGht3V4nKAaSe8roSJClSDRjb1WD2YI/qeAmpBGg/ITvSxPeVzpQysKuKbBpEKnG+BOt5Hrpjntu+PsvkbEqrm6/hnCj9zHP//g5ZBCCgHke+rlIPSao0vaefKokL8o3IfB6axaHgiv/Tn/QzwOUFBir5jGWFgZpQLsvj/ZqMOSdZELZKCBDHjqGBkPGxmCRVDh7psdRKn3J1jiostVPu3tcmLsKwKHJsWh9TigTnwfmin1F90f6oKwHIyjUcC8CWAycPZIpkinjyxvMowMdBHoKVHBo5MoWkmdBsZiwuZXkItuRZaimdjpIl+S6QyxeHIpJXm3mF1MvKDpHLlWC+qAQTdGXw/0qlWnHCy3PxAwflUsDIUESlHNDqZBbsPBlFFWC+PYJaS6kxxhhjjFl1ahVHt68ntWmWKnz4H48wO93j/b+xi7UXVSmvjQhdhbAWIEGApoJf6DN/5xGmHmrRC2vUx2tsvKRGdU2ET32xZhLoZUg/YcOlFdZuL0MkaCsjPTDF7NEO0dggte1Vgu1DeQiWKb1Wyn1fn+X+u+fJEDavizgy2efIbIaS7/CYeCXyPcJQIPP4fkqr68m8A8ApBF0lLKWIy+ctS1FooCKkXumkEKcZxI7lygmRvAzhkl117n+wxVLLCgvM6mFB2CrgHAzWQ3ZuqXLNZYNcuqPK9FyfL9y6yC13NZlvJk/ruM1Wyt0PtinHjkop4IXhAOOjESUBRJHl0q7lN+eV21d6EPMD5XkZUgzHlzTfeRLn0CgPwIjzr30YkKWO1mLK4mJGq5ex1MlYauUhWLejZOmxEEzVFyHc8a2QQpJBluXno8jKMPzjC9SW54Ith2DeH6tiyofmC2tGYgaqAfOLQnKK2iPP99ZBWf6Fnu8/qDHGGGOMOe9sXV/ml39iM5/5UpNPf2GKbu/pBzjew+dvX+QPPzLJL75unLW7akTrS9BXSJRktsX0rUeYncnISnWGN9cZ310jbgS0759l4b45giBkaM8IpXU1fBdYbELqSSZTkpk23YWE4R1j1C8bo7S5CnGAZjB3tM/eWxbY/9A8w4MBV10zyuR0xmK3QzXp0m738CgaOMQpoSih8/ScEMUhvqe0e57QQQy4zBMLBKL0U+inivf5//MPnINMiNKMIIA0U3o9JfFCtSJ5yGbMKmJB2DkucMKa0Zjrrhjk5c8Z5qo9NepVx1IrY6AW0O54bvnm4tPa+dCrMrfY5+4HWwzVItY2QgbKQlwLimqwPOVYHoe/EoAVAchy2JQP1le0qARDQYMA4gBKQR6ChQEaOPqpY3FJmZlXlroZ/TSj081bIbvdIgTzx0Kw5e0mteiyzHeH1LwSrBiKv9ICWfxcqvmul1Kc/bGKsfyCp3hDV+q1gEY9ZCKw9sgnI/9z67E2U2OMMcYYY1aJG65fwy/86Ca+88ZRXvL8LqFm/NO/TtM7iQ/Em0sZ7/voIdaOBfzMUEh5fQWylO6+GSb3zjLTDMg0phrAmk0xpbGI3lSXwzfP0kkCRjdU8hnHgTB3KKFUiqjWPf2ZjKRcJV5boXbFGDJaBidkPWXigQ63fW2RqekO1UDZurnM1Jzjy7e2SFIQFxAERYgVQOSg7JRUAuJqgHgIooxOkhdUiIPQKdUob//oExDE0O0rSd/nlWJBvlGa80ogQhgF+AwajYjNm6osLC5ah41ZNSwIO4c5J4wMRbzoumG++4ZRLt9dpjHgcCIMNwKUASam+hw82uPAkc7Teo0sU+YXU45O95iZ79PtltGKFNs8UlSCrURMxwbiU4RfnmIwvuK8z+OnIIByWIRggoYOL45+4phvKjPzKQudlG4/I0k83R70+xRD8Yt2SO/RYhCjiuLJ2yG9z18uH4Av+OPebT0OvKAaoCJAhpMM1K+EYMs7W1KEOaVIqFYCwuDUfYpxvr//r8yRM8YYY4wxZhWoVAK+/zvW88s/vZ1LdpYJkozdO0v8whu2cdcDbe55qHVSx7/+2Q2e85wxokYMSwmte44y+eASc70S8WAF6WWUBiOCeggO0p6w2I4ZGC0zdlmDeH0MYZlOc47Z+9oMDsLQ5iqDexrIWA2pRSBC0vXcf9sSe+9sMreQIQhpBv2OZ+8DS6RpPv8L9TiB0AmhA6d55VfXB/l6KivGzyyPPREIRYkcLGUhmc9vCxykTnCOfOMx9YCQSYgLljslPds3Rdy119YIZvWwIOwcJQIDtZAXXDvEa1++hkt2lRioOYJgeVC5sGldxPOvGuCehzrMzCe0u09t21oBSpFjtBGxaV3MpnUR1Xh5Phh5w7gsD8XPg6/jy67UK+IVSfNrFYEohGoIFZd/9BAIiqPfFWbmUmYWMha7Ge1eRj9RkhSSRPFpRpZpUQ3m82P/X/bePEqy9Czv/L3fd5dYMyLXqqx97b2l7pbULdFakMQmgSwsI7Axi+yxsT1mBjiYgwwHBoMZBIzN8ZwB+2DMOthjDDM2x4OH8bAJgSR6U2/VS1VXdVVlLblnrHf7lvnj3syuRo2FtlYJ7q9OVERFRt6IjIjzZX1PPM/zeseezrabU4eqm0pwu4KcgPMK5zX4AJEQ5xVePMoXiC/wzpSF+3uLcymyqUq3k9rNW1NTU1NTU1NTU/MXjnY74Jvff4if/KHTtASSC9tcO7PO4Tce4k0PzPCzP3IXX/cdj7G+lX/axxaBO0/3+I4PnOL+ezpIknH945fZ2SjIVJvWUovjd3YQPKKkKse3xF1N/3iXKFaEvQBRgt0Zkw9TRiOPRBFLx/vIoS6EGu8hHxue/ug2Z56dMEnBVd0w1grnXswYFXGZpHEOwREGstexnBYO5SFXDmPBFKXTS5VGNLzzmNyRayG17NXOeF/ulZQSvHNYZ3E6xFQxIeeFKIqxRn+uX7aams8rtRB2k9JqBDxwT49v+LIl7r61SbulSsW+EqkUnmYs3Hayydvf0OPytYynz08ozKeOSAoQaGGmHXB4X8w9t7d5++tnuONIg06sUKqcCrnbB7YrhL08Y1g+FrGloFS6wDS+qaGpkUiDFpwVkjGsbxq2hoZRYkkKR1Z4jPUY4/HGYW2ZNXeuWnG9w1PGIV3VQearP7YSwVwVfnROcE6VxfwS4WniaQBR2RPmJ4gfIS5BKADHbupymjgmE0v+53jeampqampqampqamq+eDh8sMWv/NxbecsdFpsY1p9e48KZbZyOCZ4fcfR1IW95S4f/8DNv5Gu/7Y/ZGf75jQWdVsBXfdkcH/qB2zmxpDBXh2w8dpWNocK3Zlg81GbplhY6FnxmEVUO9mLi0L7g2D0tnJUyAbOdkTy3gU0NvUMd5k91kCMzECi88Yw3Mx7/yBovrkwpnFDkiiQFixAqTbLp0XGB0iDWgDHkucVYjwJ84Zh4S9hSGARTOLxxpQjmy+qZJC9TOS501WMt94GlUAaFKwU0HzpsoFECzgZsrGX88UNbuHo7VfNFRC2E3YQEWnHoQJN3vL7PnaebtDsKheAMeFcq+6WDyTPTVrzp3g4XrmRsDgqurGfVpwOfTNmLBc1IszgXccvxJq+7rc0b7uhw6mBMv6MJtEcpX3Xj/2kRrIxClhMhqz4wEYgCaAbQKsUwIoVHYYwiGXvWNw3r24ZJYkhyR25fcni5Svyy1Wm30X5Xb9s1cXlfxiP9XsSx/PlLEax0naFCPC08fVBdkBZeFM5MELeF9ltoPwSf4b1nOrVcuppyZT0jy+uVu+bzw67ZsHaK19TU1NTU1NS8eoSR5p9+z208eLvDJYZLH7/GyrkREkaEQUirGyLaAoo33Rvwwb93hH/2ry+xvvOpxbB77+jx1961nw9+50lUNiV5boPt57YZjDRBr8XiqS6zx5uI82w/fBU7yAg6Lbq39gm6IXbHoooMn1myqwXFdkKeK5buWqR1qkew3IJAsJnj2gsTnn5kg/Ew4+TRJs1WyMXLGedWLGkGiKBECLAoZ9DeURiHMa5K3zi89WiBCIPWgq6GkRXOk2TlELJywqQQYmm0+oTNZUaDS2TZpCwR84DV5b4UhbGesxfHPP7kNoPxp5dMqqn5QlMLYTchUahYmgtZXghpNjRKK8TvRgBLrYjd9KKC5YWQd75xhmvrOb/30A5bw/xl+WyhnJLYiBT9bsjyUsQ9t7V4090z3H60weJsQCsW9K4Itvs9In/KCQbiXOUCA1QlgnWqOGSsIdB4pyhymE4cmzuWjR3DYGzIckduPcZLJao5rHtJCHO2dKCVYpfgXekAA191fFXTIStJwTvB2NKSi4Q418JLHwlmUaqHJy4jk9LEEaCcIvAW7Q3jSc7z56c8fXbM1qCo8+w1NTU1NTU1NTU1f4EII8gGY3w2g4iQuICNokkjM/QbQtQOIAjAG6I45B/8zUNMxpaf+qUVxtM/e4jW6+7u8xPfeysPPtBBxmOGZ66zenHKJAvJc89SCDMLAbqlGT25wYtPjGjPdljoR4gGH2h2XsxpL4dELYUzkLdD4lMd2nfMlX1gQD6xnH18yDNPbpMnGQcWYo6e6PDEmYS1oafR0JiysLkMxuCIVbk/dM0AaSicc2xv5ySFQTQ462gEijgQEiOkAko7Cgu5A6WFAKHVv5/9p7+WzasPcf3Cb5Jk29VEMo0jwuSKJ85s8/HHNhiPa0NBzRcftRB2k6GUIEow1rM1sAyGlnZHEQaC0mUW3FtwUOpBBgIRbjkW81Vv7TMYWx4+M2Y4znGuFLWiQOi1Q+b7ASeONHjDnR1ef2ubY8sxnaYQBuy5wPAgImUMk+pO9kQwj+yuc1pBHEC7EsKisHRfWaHIPeOxZXPHsrVjGI4MSWrJTRlrLFU0j3NUvWDlOd5jd91e3leF+L4qyBfKasaXi2DWCY4ALw28zOBVFy09HG08wW6KE6SF9U2cbTIdDnj27Jhnzk/Y2M7JP4spMTU1n4r63VVTU1NTU1NT8+qTTCy/8H+u8tX3dli+tc+J1y8g8YjpVs7ywZju/kbpNDACRUK31+K//1vH2Z5Y/s2vXSFJX/6/OKXg9a+Z4Se+/za+5L4OepSy8eglrq95Mt2mORMy2shpzDcJOhqUYpoIE9uiv9imf0cXvRDhUhhtZWxeG9PpwuItPfqv6aNmm0ikyy3e1PLIH2xz9tyUPLM0Ncy0hEsrGRdWpuXeSASlHPhyYJkSR6wcTunKBODwCFpJ1TFddoE1AhAtpCk479FKobUr91UCShSt/il6C6eZWTiBau7jwlM/gzdTxMVsbys+cXaFJ58ek2a1CFbzxUkthN0ECKX4JKq0tWotbGwXfOypIbMzIc3WDPNzZVG+qrqtqNYc50qhqBEo7rutxTRxIHDmfEKeO+JAmGkrlpdC7jjR5IE7OtxyqMF8TxNHoPdikFK5zuSGR+V32+kRB+LK6ySspkK2A6QdQRjgvcKasnRxMDSs75Qi3mhkSKaGwniMBxQo8TgLxnisA2v83s9jd9vx2RXBpHKDlW6xMh4pWAfGgvUa52OcdHA08SqmQEDsngChKB1s3it8FrG1HvH0uZS17fzPjJHW1NTU1NTU1NTU1Hzx4j187IkB3/gjF/il7z/Okdf0ueU1MwxWEvpLEboZ7EX+3ChDogn7lpp86LtPMxl7/u1/vrZXn9Juab79W07zT/7hQcIu5Jd3uPLIFTaTCNXucuhwk8VTLabbhnZPI5ECY+ifnKF53tJdiNAdjeBwGwnJdsrYhHQPtAlO95HFNqIEZz3j9YKP/s4Gl65nZQWMU6RWWN8s2LEeU/XEeO8JVGkV0MpjC0tiHNIIy8SN8WS5I80sVJU3ynts4TGFJs+qFE5VPWOt5tpwgavBYZbvu4NpZtne3iSYuYdg5stxG7/HTDFLLwh4NptgzPgL+fLW1HxW1ELYFxClhDBQRJFCKAvgkbIjbHtgcouukAAAIABJREFUePTMCBEhjBSvu7PLXF+jqoEc3pZZbi+Cq3KTMy3N/Xe1EYFD+yM2tgtCDYuzAbccaXDn0SYHFyK6rV0X2O64XLnhXPYmKPoyOl6KYJVeJEFQimAtjbRCfBjikXKhTS2DYVmKPxg5xmNDOjUUua1EMCkz5ZUIZioRzFdlYK509oIvx/lWtWS4qjz/ZSKYU1insT7C0cX4LoWPKJzFkeB9AaLRWogCTygFgYHANzg4u8Q9xzI+ml5iMElf/Re+pqampqampqampuZzglJCFKpK8Hk53sMfPrLNP/pp4ed+4DQz+9vM7G+QbmW0GoJqamxmWHtih9ZSi+5JTbsf8V1/5yjjseM3f/86y/ubfPvfOsY//NsHiKxl+twG189sMcibxP02y6da9A83wFqaXZAApACKgihwvPZt3XLTlVmKjZStR6/jO232LbeZub2LzLURBJM61i6MefhjW6xvZKSZJrfl3kw54eKqwcelq0uoBpZVdTNZ4XHGUjhHaHNyNNY68tTgrUNcuefKnGNoPBJ4vFN4LzivsDZkc7zMJJ/FJob/+l9+g/7SCc49f4Y3vPFtqOgumsVl2n6KNIR333srOPj42RVy82fHSGtqblZqIewLRBRqZvsRJ4406XcDJqljfSNnZ1QwnTqmiSXNLB97fIA1kBdw/2tmmJ8N0MqVar5zeCUICi/l+Nu5Gc39d7aZ72o2dgoCJSz2Aw7Mhcx1Nc1YCHVZ7/UyEQypnGm75fjVyVKJUyCBLnvAGhppvlwEmyaGwbBgZ2QZjRyTkSGdWorcYK3Hi6B8WY5vq7J8Y8ucuvelQwznEe/2RDAAXPV1/1J32K4I5mjgZAGJDuNMTJJZksxgzBTvNIHWRCH4wKG1QXtPUzRhq8G9Jw9ijeNPzq4wmNZiWE1NTU1NTU1NTc0XGweWQt7/viPMx5pf/k9XOPfi5JNu4xz83sMj/s1/XuNbv3ofc4daeBcyvTwFnzNYm7C+YWjakNayQTU1d93d4Hu/4yjHTnR48wM9vuKtPaJRyvDMKmuXEiY2prfUYeHWDjPLEfnqmK0zm5gUOosduqe6pQMrN6jC4Kc50wspo/UU32hy+N4Fmkc7hP0Ir4RiYjj35IDzz+xgc8vxIxFbW47z1wyFAa3LiplYHEocGk9ROLLEkhelS0wLJNah8qIaAuDxphTM0tTibTmFLBFPHBskDGm29tFbfhNprlmObuHChRe4fOkF1tfXOHv+PO3eAXaGCVGQ4fUB5ux5wNOOAt752lNYNI+eu0xaFK/2S19T81lRC2FfABqNgJPHWrzzgVkeuL1Lt63YHhk+9tSIDz88IEkyCuPIC8+1wvGRbIdp6skLePC+Web7CijH2pZTOwBf2rgCrZjrCvGxJpMkQgRakaIVQhQKwZ8WwQAo1a+X/l1SxiErV1hQToOkoUonWFx2gtnCMZkU7AwLBiPLaOyYjCxpYjGVCFYain152Ze9XoUphTznyut3pwDsdoLtFvx7728o1FdVFDLE6x5h8zjN/u2oeIGd0ZjN1SuM003yJEVROsFsoAhCjwrLXv9IQywQdmLuPLqPUVrwxIvXmGb5q/gOqKmpqampqampqan5bDh+rMW//NE7edMDfVTq2JkU/MyvXHzF3qrN7YIf+9nLaIQPvHcfMwfbuMKSX8sJ4pioHeCShGIaEy6GiMA997Q5daJNpym4rRGrj1xlc8OTmJAw8LRCx8yBCF941s/ssPJCQXuuRS/SqEgYbTm2Xsg4dlcTp8AVgl5o0rt7nuhItxzTCORDw2Mf2eLKpSFx4HndA3MMBnBtY0Icg3EG6z2BlOUxkUAsHqWhaISo0DOdGvLcIh60d4TeE0eCD8E4TaIczrhyWJkIysfML76BQ7d+Df0D9+GckBpBNxZ49tmnSdOMLE2JW4bNrR1aoSWMWlijCcSAwGwr5h13HycvDJ84v4JxdV9YzRcPtRD2KtNqau65s8vf/Kol3nxPh7kZjaJ0Rx1djChyx+9MLdOk7NXKC8f6VsbHPrHNeGJJMuFt9y/S7xq0Lku3RLk9IQxfDj/pdQM6LYWzHk35CUGgSnHpT4tgexMid8dFehBffnog4isRTJCGgk4IjcoJdoMItjMyjMeOydjtiWDGeKz3OKoJkF6wHgrrKYzDWvdyEcy5sh7MgYhH7U7JtGCcYH0AqkXYPERv6T46C7cTNPqkecFOcZWkcEwmCUUyJRCHCzwqEGhoyj+Clt1eNGGh2+SWA/PsTDPOXV3H2NrWW1NTU1NTU1NTU3Mzo5XwTe8/wg98x3GOHYmR3EAH/vHfP8b6ixN+9XfWeKUa4I0dw/f9ry8SWce3fsNBmktNrIVOZplMhhQmRoUh5QhGiwJmIk92fpP1p9bYGkdkjRYqBhR09zdBa1xu2Z6EJF64/fYe3VubSCtG74xZvZhit0Z0upr5u+do3zeDzDVBBO9gcC3lw7+7zvZGTqQMRw+1yHPFo09NmExBB5ogLM0DQQBKHA3tibRQBBFB7hDrCAohS8t+ZyWeUEMrFBKryPICrQQXaHwuqLjL8m3v4/Q976PZXcJLSJplbG2s8eGP/AGb2yNCrUimU4rsLHfPeg7NKBpeEYh92SSoxXbM173pVsJA87HnLryU6qmpucmphbBXkUasuefOGb7p3Ut8xf1dZruKQJU5b2Pg9JGQr3v7HNPE8bsft6xXZe7OewbjgsefGzJJPOOp8KUPLLA0D1FoEVGlqCUOlC9FLe0JtCotsLYStuDlMcjKCab2OsKqda3Km4uA6EoEi6WcEBmHOA+m8EynBYNhwWBkmIwt04kjSxy2sBSFx/jSwlvGGqWKNQq5sRQGTFFGI3EOb10pllW/tURK55r3YF2AkwY6nqMzdxez+19Hs3cYCRoUxpAWGaPUkBaOLCso0gSvHdpacApUAErjy9p8bPXpi1bCfKfBkcUeW6MJG4Nx2UdWU1NTU1NTU1NTU3PTMTfb4H3v3scPf89t7J/3TK8MWXtijZljfeZP9/lnP/5anvqmj/LYM69c5D5NHT/xq5ewBr7tA4do748ZX0np9po050PiAzFohfcBbpSTnNtk9dltdkwDNdfh9ltbNGZDXOqI+hqcRccwe6xDUiS0lkJECT7NSa4N0MozHgfM3tYnOD2LdGIQMLnjyrkxD/3RBts7GQpBi0UKxxNPTUmSsgvau3KvprTgKQ0FBgcSMDWU3WDWY6pzEY93gPUUVhiMCkzuUIDSPaKF2zh2+zs4cec7iZszeBRZlnLx8lUuXbnOvkO3Mr90hBfPfoKdzeukSY7svMBcfx9aQuAl/0Xln6AZBrz7nuM8ffEqwyR7Fd4FNTWfPbUQ9iqhlLC8r8Eb7+5y/x0tZrtCFJQClVeA8qDh1iMxX/u2WUZTwx8+MmA0LvbquiaJ4fmLE379/73GNBPedn+Xw/uhEZfTJhWVqFVNSeSGrq1doWtP9OKG040imCudYAqQQEFQiWBNXU2HrESwxDAcFQzHBeOxZTrxZFOHyR1F4TAejBese0kEs17IDWR5QF6AsQasRZzDFRZvdx+vRykAhZcACbo0Okfo77+X3tJrCBqzIJo8z0mmU8ZpxjQzOFuKis4arCtw1uJVgDOOLBMiH6CdYG05ljgzFuc93WbM4aV+eZy0jkjW1NTU1NTU1NTU3GzsW2rwwx98Dd/2jbOYYc7mU9tcfWaLzYniQJjRO1CwsBjxGz/9Gr7le57jI49svuJxXrzu+Ce/tMItp5u840sXaR9qgINmSxAvYAQ7mLL5xBobVxLGvsPM/hZH7ujQmguw05yg4UECJHXgLAcOafq9DjpS+KkhvTJgcnVMu99h5lCb9q09pBPjBczEcu7JHZ78xDZbOzm2MgIY73nhUsLENxDRiHPgLVpsuQcz5STIPLc0WkJa1dTkmSGZmtJgAIAnsQ5jPSYv93ZG9Vg88Vc5efe7mF84gAoaeIQizzh/4TLnXlxhmiQYrxhPMiIRxBd4V7AymLC8PWCh30OHYSmA3eAdGKc551e3Obgwy/jyKo7aWFBz81MLYa8SYaDothTHD8bM9xRhJYIBUGW8A6DTFO65pcloOsdwbHnk6RFJastJikCS5pxfGfNbf7DKJDG8800dThwW2lEldFFNeLSlu2r3PkTkhm6wG0ryVamKee9fikQiiBYkACIgVqUIhmBySBLDaJwzGBlGI8t07EimjiJ3GOMoHBgHxoNzpQjmEHKjmKQRSdYgLwRvc0IZIs7gcl8W5zsPCKKqU9im3TnN7MEH6MyfRqIOxjpMkZFlGUmWM80NhbGUjWmCYPE2L58IB9Y6MtEEUk5HkcJgvCczlnFWoLUw222x0G9zbcNS1JNPampqampqampqam4qvusDh/nb3zCLGRVcfmSVs0/toMOIOFDETYUKHOItR463+F/+8S185z99ho99YucVj7U9svzYL1+j1dTc/+Z52kcb+KkFJ+TXBmyeWWdt3ZGFbRYPdVi+tUVjLmT8zAbbLw5Ahcwe6tI52cOPLWILGqZgejbFTjOmO5bW/j5Ld8wTH2ij2+W2O9suePqhdV44O2IwKQd9palDtCJQQmEcQVwggUW8A2swmSUrICmEadpmnC5hbc7MTIYtEmy6jne29FV4RyDglCfIHFYUngb9A2/h9N1fydzSYVARznuUOMbThO3hGKUUIlJ2iJmc0fVzaJtjvGOUeTYmBcKA+UoMo0rubI0Tnry4yvm1AV7FLPT6rA928LUYVnOTUwthryJhoGhGikak9mR0X+o+iCrdWqHAbFfzwF0dhlPHcGJ5/sKULLd4wHlPmuZcvDri4acCui1HI2xydH+ADjz4ajyurQQxZK9vS9QNIlh1GXw1IbJ0kYmU7jUJgVAgEgh06ejKPNPMViJYwXBkmYw9ycSSF678lMKVTrDClZetK3vBjFNM0waTrE1atMiLELEZRgTtLN6Uj9k7X/lspYo1dmlER/HREpkRlEmwthS+CmPJEdLc4IxBoQi0wohHfJlf987iHBRWSABjyyZ+ax25dRTGIQjNOOLg4ixpbtgaTMrb1dTU1NTU1NTU1NTcFCwtNJBRikQheRgzNi0azhGIRumg3OxgUSK87t42P/pdJ/kHP/AMz1+aftKxrPX80aMDfuLfCv98ucHJu/pI5Bmf3WDtmU02piHaKhraMDenaMxFuFHBlT9ZZ+iazC1F6EDhlWd71WBTx/zxJo1AMboe0DwW03nNPHqpWUYtnWfrypRPfHSdnY2EudmIN9zb4+KVlCeeHbM9MriwnGoWGUtAOfFeW4PyHrxiYxiwPr0d3TpGXiRcvbYD+Sb9YES7MSYSwRpfVpx5KBw4FTB/+B3c8rq/wdy+YyAhHsdoNCYKQy5cusZkmqJ1QKPRwBhLsxHRVjnTOCSZpKTGYQhZG2fAgIXZPmjN+nDKnzy/wupgguiYVtxg/mCDOPBc3nxlAbKm5mahFsJeJQpjSTNX9milnjioBoVUug/qpehiqGBpTvO218+wM7b8hoFLV9NSDPMQhsL8rKbdNEwzw/Z2zvIMNBtV4b0vnWHsRiDVS0X4IlUBfvU1v1eMvyuQCRJ6JBLQ4LXCOcEUniS3jMYFO6OCwcgxHjvSqSMrytJ7U4lgxpWXra1y7E6RpFEpgrkuWdHC2AjxButDQmLCKEf7HFtMMUWKKRzGabJMGF5dp5BLzPZTwrABUv6ic6JJCk+aZGA9ShRBqNECzju8o4xlOoXFkzmL2RX/8GWJpii09sQIs902Jw4KUbDFxs6ILDf1Zxk1NTU1NTU1NTU1NwF/7/ueopXfynvft58Tr53D+JB0K6PbVOw/1ULiUgGSIkfrkDe/ZZa//t5lfurnLzKamJcdSynhluNdvuU9Rzh+aw83LRidWWXl+QFD2yKcaeJTQzAb0ezFiAaXeXYmMa2lJgfv6dE4GELQwBYjVs6MSC8Zuksx/fuXYLENrQgAm1quvjDloY9ukExS9vUDXv/GeZ58aspzlzIkDGg2wTkP4tGqDOTE4sl0iDQCYieYoMn6yjw6iOgECq0DsqmQF306LsWKIwoCgjjCuwKPRSth5cpVnln5dd7yzvdy/OQtXFy5Tp7l9HszDEaTMpopQqA1zjkanT4L84tYM2VzkpIWtryvwnFxe4oITKzio8+tMM4KjizNs9SfwQHGOHqtkKQwbAxfuaetpuZmoBbCXiWcg7WNjI88OuDEcsTdpxp0OhCol6Y9yo3OMGDfnOYdD/TIrPCRR0esbuTgoTejOLAUc/JwzB1HNft6moiy10sBSlVxyN2/qjgke0X5ZXH+bnSy7Amr4pAhSCh4JXgRnBEK60hyzyixDEYFo5FlPPakqSMvHLaa6miqiZDWlfn1wpbTMI0VikLjXIA1msLFFL5Vim+6TbN1gM7MHM1Ojywdsr36PMnWZZIsI3MgxUZp4XWeTneOIGxB0MDgmSYZtihQCIGGMNBkSnD4UgzzUjnp3J7jTfae7FIgVE7KySqiUD1NHIZEUcjq5oAkzesC/ZqampqampqampovMIXx/P0fP0vcFt7zNcvc+poOV59XzPUUYTtClMZ7jxtkeG+I5lr80D86hgd+9tcusbpa7B3rq7/qAD/5fXdwywGHHUxZf3KN1ZWUNOgyu9zi0C1tAsr6mHg+AO/RMwFzp3uIVkQ9jSiFHU1J1sbkhWcrjznwmiVkuQuNEDxkY8Oznxjx+GMjsszRDmChp7l0OeXJ50blUDE8Spc1NoEChS8jjqEisRprHdaVhc5xqGjFGpEAHYTEUUjgm3Qb14gDaMQBs/vuZrj2OOPNh8mLgiuXzvLUpYs8+9wZ3vWeb8THi3RaIeItzlrKGI3HOYsrEsY7q6TJlEYYIECSF1jv2ZoUpLklDjKubA6Z5I5et8dCb4Yo0HgPeeFoxDH3nTzM4+dXWB2MvkDvlpqa/za1EPY5RCmhGSuUEgrjSbOXd00NxoaPPjkkDARn57j7dJNuF0Ite2lAoBSvFESR4uC+iLe8foZ2W3PuUkpReGY6iiP7I04uxxyeD5jvKlpxKQQp8XtusN2Difi94+71klmPeFc5xhQSKCRSSKjwonAIJi/FrGnhmKSW0dQwHjsmY0+eVVFI+1IfWGE91nqsLb/mbNnRpZwnUBlCjlD2nXk0Sse0+zMsLS0xM7tAEMZkeQLhLIntMilWcOkEl03Z2ljFoZl3ikbTowODJ8AbjwYC5Qm0oLUmCDRWyhhpWdZflvB72fWC7cZCXxoWoAGUoFRA1G0TBgGBDri6vsUkSetRwDU1NTU1NTU1NTWfZ7Qu91RF8cr/+R4nll/5revcdqjBLffMsXSiyc6lKcEgpxE1wHoG5wckqWbxTkU01+AHvvMYS/tb/NA/P4t2BV/x9n386A/eweGuJV/ZYf2ZDVbWQbVnOHi0zdLJJlFLwSTHB7qaWmYQYzl+V4vcKpRW+O2M9IUNku2M3oEZ+qe6qENdiENwnuF6ztMP7/Ds8wm5AfGKNNNsDwyDzelLH7Z70AIqqPaE3pOnFi2Qu2p/ZTyDyRxhEBOFUglhAfPz8xw9+iCLC/MEYUQUKKJGl8Hml3D1zK/zX3/393jmsia3cPX6Kr/9W7/BW7/8/eBmKLKkLNj3gveeNJmSZwmDwZDB+irL/SYCpMZybWvA5jij02xiJGS210NHBq0DdLWvss6xNpjgRHN4rkczCvntx54lzethZDU3H59SCBORnwe+Bljz3t9VXTcH/HvgGPAi8PXe+20REeBfAO8GpsAHvPePfn4e+s3FbC9kvh9ydH+DXkfz4rWMFy4nDMfFnohSFI7VzZzffWiHaWL55nctcM9tLWZ6QqCldCzxkmCDQKshnDwU0WkrTh9rMJlaGqGwOBOw0FX020IjFAJdCWD+Bg2M6ooKubEQ31bxSK2QWCORIJHGo/FOkeeQpoakcCS5Y5xaJlNfleLvCl6VCObAuFIAs8ZhCo93FhyIKxf0UFJipTE+RNNC4eh0Zth/4DCzs/OEjTbOCwGKVnuO/vxBijzH2OvYdEKWKIY7W0RRC1BEoSUIGkQqwCqPEVsJWZooinBFiC8c1lc248p5V1Wy7TnwStFQcFS/gCjdYaFuEegArRSXrq8zTbI6JllTU1NTU1NTU/MZUe+pPjVhILz/vQc5ciDmp3/+RUaTTx5gZQz8Px/eYbzzAh/6HxyvfXCB/qEmycqEYm1EPpqweiUlD2Zo7xREswFhFPL1717guedH3Ha6yfvfs5+FjmP6/BqrZ7dZHUdIt8WhU22WTjVR1rL20ctkwwLVbrFw6yxxK4DEol2O2kwYX8pIhzl5LizcsUj39jmi5SYSaXCerZUpj//JJi9emjJONcZpcGVC5YUrphxIRjXoDF/WI9tyr+acI80dSebwscJ6mEwU64N9eJXiTQMdKdrtDvfc+3rmF/ejwxilNB7I8xyr51m++wMcXtvH05f+Ix6D6IiVlUs89rHf5oEv/auMJhZjDMY6nHMYY0FFjIebjJME3Y8ItZAax8ZwQqfVYqHbIAxCAh0QRx7vHXmWsL6VsjXNSaxiX79LoISFmTb333KEh85eIslqMazm5uLP4wj7ReB/A375hus+CPyO9/5DIvLB6t/fC7wLOF2dHgD+ZXX+F5Y4UuxfjLnnti5f9oYet59o0GzAI09N+d//ywZnXpgwnpaZdE9pF93YKfiDRwcMp5YPvHuB++/uMjevCXV5TLfXX1/GFrsNIV4KWeqH5LlDeU8cQjP0hBq0quKNvvQ7iecGe1mJVK4ocR5ceXsVaqShkYZCQo1H4U35Ccx0bBmnliT3TPOy3yzLPEVOOYrXQF51gllXTossRTCLt2WXGa58DAqHdpaIAisphffooMPS0jwzMz2CuFX2fnlblZYpokaHZmeW0XiIZAnKJxTJkGS0RTNsELR02RNWjRTWWqN0iApbBFGL2KY4LXhvcZTDApS85ACTG5+eGxSuMjYqxIEw32kQHFgC4OK1daZp9rl++9TU1NTU1NTU1Pzl4Bep91SviBJotzS/+K8e5Cu/JCTZcQzXC37h/7pCkn2yGDbNPP/fw0P+zo+9wH/8yYBDd87iFptMVyw2aJLFAbHJcWmEp4GIYWE54Me//xgBikAcO39ykWsXJ6SuQWQdbZ2zeHiWoK25/EdrrDydELdbLDQDFB4XCmf+YMSpu9tES13cRoAyDbonu3Tvm0daIShwhWPt/JhHP7bGYFCgtBBQMJxYvAhal13KkSsIgrLc2RlHMi3IMod1VEPDHFqBStJyn2U9Hfcs1wYLeHeA3vxBTp08zfKBZUQ3cF5V6R8o8oLHn3yG5QP7efBL38PZsy/w7HNP4JzDe7h88Rx3D1Zp9A7gioIiT4gbbRzl5Mio2SPqdjh261GeXRuQFJb5mTaH5mbQupou6QEcufVEccxsEKDDAqUDZpoRWpW3ObFvARHFw2cvMqn3UjU3EZ9SCPPef1hEjv2pq98LfGl1+ZeA36dctN8L/LL33gMfE5G+iCx77699rh7wzUS7pTlxqMk77p/lvW+b4/SRiEYDPI5+V7G5Y0hSx9lL05fFJAvjGE48D50ZkReOnYnlbW/osX8xIAhKXcZRTZT0gngh1hA1PC5W4B1afOlgEo/anfy4K4JRXa68YUIZDxTnEVeW56tYo5oaaSqoRDCbQ5o4RiPDYGiZZuVkxcx4jPHkuSc3nryA3ID1YJ3H2HIBN7nBWYvfXcCrvLl3rpxi6YRQxnT0VXxjiV6nSRSGgICzOFNgigxrLaICgqiJBA1U0EDsEOV2KKYBSRTivcdag46aWFGICgjDJjbu4PJZcDmEisBbMHk1ObMS5naVsN2nrbrgdyd5Svmca6XotyJOLi/gnePi9Q3SLK+dYTU1NTU1NTU1NZ8W9Z7qlQlD4a1vWODnfvwOjh5v4KYFzb7wP3/wBHEj5Kd+8YVX/D7n4fkXx/z8vz/P//h3T9M/3KXImqhhwOkTES88PcSrEO8DRDmU8zQDRbE65erjV9nesIzjHs2mIis8zcUGOg7BQjYWdkyTU4c6HHxDFzXXgMRhBilnHzIszlhmTsww95ZFWGwhUdkhlk4sF58Y8NQnNgkDz3339JnphDz+bIJbSRmOLIgvvQJVb3GEwyiHbYSEDSFLDdNRgbG++hDfEQVCu6VQ+irt8Aq5uQz2rSwfPFjWvzhbFk17yIucS5cucu36NfIi59zzU/oLh2hcukAy2mShmXH82GGKyRZh3CYdD+l0eqA1xjqCMGBh3xFi7mXpcJflA9fZPrtCaiyB1ogSvCt3Q7l1rA8z9veaxGHAXDdCxKNVJZZR7ruWZ3vcd/IIj567yKR2htXcJHymHWH7bliIrwP7qssHgcs33G6luu4v3KLdbmluOdriXQ/O8VfeOsfJwxFxLIgunVdL8wFf+WCXta2CwdhwZTUtJ3JUGOuZTC1PnptgXSksffmX9Ni3ECIaPB5fZSTL4B4oTTU+16N2+70qsUl2y6/KYSMVfi9nXrrAPCrS5amtkVYAYYBzinzqmOwYtncKhmNLkjkK63FVLt0YT2E8hSm7wApfxiFLJ5jFFBZrbFXAL4CrFmaPcy+53BRCrFNED9Di8M6AyfAI1uSYIsWaHOc8XgLCqIkNG4gkBH6CLq6TDhKsSTD2IKHz6CBGiSYMG9jYYPIUa1KUhUYMDQp0OkWKG6bFvFSbVj13lRiGL4U8PE55lFL0mxGnKjFsZWObaZrviWY1NTU1NTU1NTU1nyF/qfdUYSB8+YMLfOj77+DoyRbptSEb57ZpzLeYP9Hnh7/7GI89vcPvP7T5it8/TuBH/902nf4K3/z1R1k42GLsPJNVw4HTM8ydaCENBU7hMsfo/A4bz26wtiME3R6HjraY2x+TjC39xQCJyn1V/2iXmVVPfylCtzRYS7E6whrLKBV0t8nCsR6y2IK47Cy+G2WWAAAgAElEQVQebmQ8/fAWZ58f0Q4cBw+1iFoNPvzYlK2BAxUShh5jHapKAYXiaARCGoRoDeLAe81wWFbrKAWBQDsWVKCIjIfY0gi3iNtjpOy5ocgzxuNtkjTl+vXrXLhwAS2e0WALFcTMLR3m+JHjTC6vcPKAobu4jU9fYLoxRgcdvI0BT6hD2u0ueMHkx7hwfRUdRgieJC/KfWflKjPOszEYk5py6JpWgvMeR1lV450FhGluWB2mHF2axVrD4xeuMslqZ1jNF57Puizfe+9F5NNWBUTk24Bv+2zv/wtBHJVTG998b493PzjLycMRjYagglJs8kAcwbFDIV/91h5r2wXDiWFnWLzsONZ5RhPLsy9O+c0/1ISx5ivfPMNMV1cCFqVKIx5RVKJYNemxik1WtrGXBLDdV2Lv3O9NS1RRUDrB2gHSjkoRzAjpxLK9adncKm27We4wzuPKDy1w1lM4yKsCfOvLXrDclEKYyR02N3jr2G3i2hXAvN91t8nLHpPLN0kn6+gwQocOj1DkGXmaUOQ51jpEx8RxG8wU0h0CmxHIGMwEN8nJpHSyBTHoMCbQAVGjXR4nz7DeIiqnP9tFsibFzg4my/G+7GPbfThyw6lMjlbOMOMQcSilmGnGnD6wRBhoLq1tMp5m9TTJmpqampqampqazwmfyZ7qi3k/dfJQiw/89eO872vmuO1kzPa5Da4+ucHW0NEbKjqLGa2ZBv/iB2/l+378HP/3R9Ze8TiFgZ/41VV0qPi733yU7tEmKFCpRZSAAZ9bhk+vcum5EaM8pD3b4vAdXfoHY7QS2j0NkSp7X5xjbl5z15t6NLoBGDAbI9aeuE6hInpH2iy/bhZ9oAOBwlnP2osTHv34JtevTfHOk3mHM5ZzL0wZDm25VXOACFqDlrKc3hoHgaLwCmMtznlMUW6ghHKYVyDlgDNjFHnhK2OFYIoxVy9f4PCJFmEY471jNBwyGo0xxhAEGh21SmdWkXFg/xJBa4FOe0ieruHyIRLNosIZJuZ1dGYPEUURXgJsq0Uzm2NjnJKySBBeZZplOGuwzjFJEtaHU0QFHJ6fIwoUAIESUmPZGgyxthTCrg0S0BHWeW47tA8VxHzi3CXG6fRVeqfV1Lwyn6kQtrprzxWRZWB3ZboCHL7hdoeq6z4J7/3PAj8L8JkIaV9IWg3N4X0NHnztDCcOxsSxQgWunM4o1cIlQrsl3HU64j1v7bO+bfj4UwOy3L3sWNZ5pqljZT3jj58ac/xIg3tua6BFykVQwZ5q40Gce5kQJjfGIW9wNsFL5fgqUJUIplCdEGlFEATYAiaDgs2NgvWtgsHIkBcOY8G5sk/Me1cuyq5cwJ2HwkFaVA6xAkxetubryq1WGdCqhyKluATs/uQikKYDJitPsQ9Fo7uER5NlOXmWYozBeQ2ocmEPBFRKpHIEg1Dg/ComEXIV4nfL7gMAQXQEYQtrcyZ5+fPMzfaxoWa8vkmR5nul+X5vfKSAe6mbba+nzZWjhLUuxbBblhdpRSHPX11jOEnKIv6ampqampqampqaT5/Pak/1xbyf+pHvOMl7/9p+Gs5x9eHrnH9yk7GPaDdDZnqasOFRgePOu9r84HedYmNg+PiTW694rPUty0//hzWOHGjznvfup3Osid0qyn3IqGDj0RWuXEwZ06K32OLEnR06ByLytSnXHrtGnnk6B2ZYvGsBMo/PCprTCcVGwXCcMd3OyGly21sWad/WJ5yP9yKC184M+cgfrbM9yPcMEd54Ll3JyASc12WSxFtC7XAerIXC+MpUYDGhYI2nyC3JpMBbRyCCr/qYk4ml0GWCCMp9VjZ4hvPPPcS5c8/z5re/h9n5JVAhL1x4EedBR20ATJ5g84QoCghaDZLRZRqhZmahSxgm5PmUUfEsWTJLO2wQ6gAXN2i2u6TZHJ19d9JaXUEFEw4c28e1i6u0mk32BxFxHBNovfc6iAiR1gRKGE8ztiY5oiOWOhFxoBERTiz1CNRhHjt3kcE0/Xy/zWpq/kw+UyHsN4FvBT5Unf+nG67/dhH5PygLHQd/MbPsikP7Gpw41KDZEJSuRjWqcgEAyjG4odCbUTx4b5OdYZ/hxPLshTHpDWKYUkIQVKcQBhNDmjmaoSpts/JS7FF2e768ryKR1R3dEIu8sSdMCUikUHFQ9oG1I6QZ4tEUU8tkx7C+UbC2bRlNDEVR9oFZ89J9uGoqZCmKQWJhmgvjNGSaBOS5JcQQ7lrY9oShMhfu/K7YJChR1XVCnhs2ds6SE7Ow7NG6WcYuC4N1gnUebz1aLJGaoMIU5SuFDo+WHOXXyKfCpMgJGgvosIVDkxeW3EFuFYWJWVlPcE5Y6nbo9HMmmzsUhcUjKJG918yx26EGqvp5y5kDpYNMi6fTiDi5vEiv0+Lx8ytsjSblhJWampqampqampqaT4+/tHuqP3zW8HVYfKAYp7CVRISBJhmDc4rS1mVRIbzu3hY/84OH+RvfPeX5S58snnjg3OWcH/6FqxzdF3PfWxcJ2gHJ1TGrj13l6jakvkFPG/bvD2jvj7CZ5+xHrrO56ohmGshYszAt2FwzpFs5+493wE+Z7oDptjl03zyNW3pII8B7yKeGFx7b5pFHNkgyS5a5cpsigvae3FiCqMCLQ+MQV1AYxzSFzECSheyM9jFJQpZmh8SxYzjYJktzYu1pKAi1EAYah8YYQMB6X93fBmtXf5szL1quX7vKg2//Kzz3/DmGk4Qg7pburWIKNsUVKUJAXnhIC7rLC0heQDak1Z3BuPOk2T6KrEnYDAh0SLPVQvwc18abpJMBYUtYPHUS52F9ZZ0wjKDa2+2+CgJoJcy0W4gKmJsp98ZxqMt+sfJH4PTyPO044I/OnGeUZFjnPuk1ran5fPMphTAR+XeUJY4LIrIC/E+Ui/Wvich/B1wEvr66+W9Rjvn9/9l771hNs/u+73PKU95+e5nedrZzC7nLJoqyJEuRBVlWnFhWiiMBgQxbRuxEMNJgBAmCWA6UCAYMp8CWJRgWYgeJIsqybBWGEkmRJpdbuNy+s9Nnbr/3bU89JX+c584s1aCIzaSeDzCYu3tn3vvc933m3Pd8z/f3/b5NqPr9sa/BNX/jaYLV5XFjxrG9qPkcx7qYkOgYFhc83/2BHkdTyy8JuHIro6wcSgl6Xc3CUHPxTMoDpxMW+xJnPETuy1LzgwB2nGn17lywLxfCRLMcSdUE4icK0dOIfgJRhDNQzmrm45qdfcvO2DLPghOsrAkW3UZscl6E5pLmGoyH3MCsjDmcDpkVPayxpMIxSg9CI6U/bmQMM+I0IpgQ8t7H1grKGvIsp7hzi8qldPurSBkhZITzGmcN0tdoPyWSE9AVzjq8oCkB8ESixrt9qkIwziuEHoCMKSrDPJtSZFOEqyljAc6gZZ+V4QK+rsmOZsFa3KzIzgdR0ovwHxZ3z8ImEMFaLcPviZJsLA7pPHKJ12/e5dbOPnnRhui3tLS0tLS0tLT8/rR7qi/nH/z863z4vOP7f/AEF59ZJXcxMqvxQrB5vodOQwC9qGqU1Dz57Co/9sM5P/MPr7JzUP+ex9tcT/mz33OKzcuLuNwyvX7I3Vf2mMwVottnQVi8l0SdCKTAGcdspqiTlEuPDNh8sIMcRIidKTfezigOMwZDycknltEbPVjqhIIx6xnvVrzxhX1uXZ8wGkSsrSbs7dfc3impjUUqSSoAa5HSooTHW4urQoFYnguu75/EpU/hu5o39o8QZk5s3qQXvYNOobZhOgjh8Qq8FFjvqCrHZOK4tp1wZW+GtfDpT32c6Sxj7czjqLiLMyW2znFVAb4mjSo67hUycxcnBRLBdFqSiJJhryaOLJI3yYsTpN0BHS3oJh1mVLx+tI1xjqNJxUtvHfFtT74H4V5g9/YOlvi+CQRo5m1QQjBIYyZFFcrdpOT4jzkPWwdzVgZDvuOxy1zf3efVm1uU785ybmn5OvBHaY38kT/gU9/1+/xZD/zEV3pR/6aTFZbb2yW3dypOr2t0FJR/mvWKY4OQCOHwcSJZXdV830cGGOf5xPOS3SOD1oKVxYhTmwkPn0t59HzC2kgSqeDGEu5+mPv9cUhxb+TxXQFcXxZ4JZRAxhKZSsQgRvQSUApbOcpJzeTIsDe27I4t87mlqhylAWM8wtt7xi7ruOcMsw5KB3mlmOU95vWIwnaxDjw1cZ2TijkSj4QgegnZhDge1+wGYa2sBbUVeG/IpgdYcZdBrej1FlFKILBIX6HsIYpdpJrjncUch9k3T7TAkugKZ46YZZ7xZIKxYcQyzzNMVaKEwyaaWA7Yn6YsDEcMV5ahtuTz/J5Yp5qSS/xx22YYt3Q+nGRIeewcO3a3QT+NefD0JnEUce3uDrPW3tvS0tLS0tLS0vL70O6pvpzaeP7T/+kqKon54T+/zqPPjth6fUYSCzpLESgFeHxW412BHHX4G//xKbqy5q//nav3HkcIeM+DPX7ixy7w7/3gGqmt2X5hi92rU45MQnehx4UHesR9ickcoxMxUjiUFqycHaL3DQubCbIrcaWlOMioippb1z0PPruEOtkPIpiSeOfZuZrzxeeOONydsjzSvOeZZa5dqzmYFHR7gtm8DNfdbOKUgFR6bCKxOiKRiqQruDVbAp0Qa4GSQ4pcYbI1pNhC+xyhBEpppJJIZfBCoK1gfyZ543aHW0ddrAuH9Hllefnl53n/wgl6w2VsOceYAolHCEnsrrOQvIHoWo5mgrIsUTpkLAsliKVH+RyjHN1uF2sqdnfv8PKXXmD79tsQdfFlzRs3ZyysRTzzgWf50qd/h607+6ASODaHvMsWoKRgkEbMCkNW1sRKoJTicJZxMCtY6MasL/RYHXXpJDEvX9timre5YS1fP77isPw/iWSF5frdgs+8NOHCyZhTaxFSCYRsZunu5dc37iwkaSI4c0Ly/d8+YnEx5sqdCqXhxHLEmfWIE8uaUU/Q6wi0cAgbxvGkaBxgHDvC3p0X9i5B7Hjd0RIZCUSqEKM0iGBCYnJDMa4ZHxn2Jo79mWU6tVSVpTICa0F4i8M3o4lN/hg+tENaT20FZaXJyh6l6VH7FC8kFesUeLQ6IJYVYBG+vO+SQzSPGZxgRSUwxqNwRBSYfI983kOrhCT2RNKjxRTFNkqNET7HOguNCHacP4Z3CGFIdcFQw2RaMptBWdaYusLUYVZfGE2WKiZZj6yWbK6vIOsaax1VWSFEY+ZtxLBG6sIKj2yea0kjhAlAiCYHDrpxzOm1ZaxzXL2zTVH+3hOqlm8+jnXRlpaWlpaWlpaWrw3745r/9Z/d5MHTEU8+u8z6A10OrmRUM0OSajww3c4Z38rZeByS5ZT/4C+c5IVXK37ul0Nk2tMPLfBzP/0gFy71EeOMK8/dYW/LYHSP5c0uZx7qMViLw6bKBmMBuUPiOPNYj9W5J+kpvBHkVw/Zu3KIjrpsPDRg5ZkVxHIn/F3juPLFOS88P2E+LUml59RmzO1tx4tvlFjjQSriWOF9mPxRAqT3xMqTiwhBsweSgjRS+EQSRRFxrIm0po7Pk0ZDhgODqyacufg0dbHN0e3fBF9xe1/yhasddqcRzoV9iRcS7z1H4zGvv/Qpnnr2T2HrAiUVWkV4X9KTW8SxZ2E5oio6uCKn00/RscA4i5CeRM7R0XXGd8d87sVrbG9vM5tNkFIhpYZkyDSref3amEfObfKR7/sI/+r/+jUmh3NQSZj+4cvfP2sp6caKo3nGznTKrKixTnB2Y4V+ou+NSl7aXKW2kpev3qSo20bJlq8PrRD2x8A5z63tgo9//ohLZ1IWPzBiqCRCHTc5BvdTkzoFApT0dLtw4XTCaBixO7ZIAd0EOjqIKgJPhEcakNIHEYxmovDYFQbvGoW8n0LvAbRExSC6CrGYInppCFmcVWRjw+GRYX9qOcwcs6mlLC3GCYz1wf8kPNYKzPGIIx7jHNZ6agvGCepaU5sE5zSgUTpBR31UZ42oa0lUhXAZpsqos7vYcg/vDc4LjIWyhqoK7ZOxdqSJwcspwm2jjSLWKYms0WKMUkdoMQYqjBcoJTHOY70IjZTOI4RFCsMgKVlMDPOZJ68MtrY4a0NzC46iyCmritpBd7TAQk+Ds+zvHFIbg7rnqAtPupAg/PHpRnCFCUEz4ikbp57FCejFmpMri2RFye3dgzYz7JucJhbufnNrS0tLS0tLS0vLVx3nPJ/6whE/+rfe4J/81MM8+r5FFk53md6cYY4Kqrrm8PU9pq5Hb6dicVGzuJby3/+t83zgwxvc3qr4K39xmfVlyfTGmGtfuM3eoYCkz4nTPc4/0iUeRBy8ssPWGwf0hikb71kjGcS4yuKmBRwVTLYd+cGM8V6JHyzy2LPrDB8eIYcR3oOZGV76zJgvvjrDGBBO4jzkc8vLd3KMuT+aIwQoyf1pE2sxSlALcM4inWdWDEEs000UUkmcV6Rph9OnH+f06dNoHaG1Ik5S6nJOlHR5/rO/yie/JJgWMkyvCAFC4Z0FHOdOaDaWBbacoqKYSBoiVTJUr9DXe4AgiQVrJ1MO9wqqssI4gZfherWcQPHbaCexE8ds3sPUJVHSBRwiSnB1zkrfMeppVjcX+fD3fhu/9S9+m2ySg05p3AVfRqwVC70uUkhGfUs/TenEUSgbaCJ1jPWcXOpT5Cu8eXeb0rRjki1fe1oh7I9JWTleuTLj//iXu6wvRnzgsR6pEqiIsIN2jZpy3PooBUpDJ5Zs9gRrq44qt9jK4q3D1D4IO76Zr1SNGHNPBIMvW1ma/DDvPNaHZkidekQ/Qow6iG6CrR31vGY+tkEEmxnGc898bikKi3UiBOGH+UqMCy2W4euFtkjrPMaCsSE/zNSmuU6HxBPpiIXFNVZXVxj2EpI4WHSLbMrB9lW2bz2Hmd+Ed41ceu+JNHQUKOlQKkdFu8SqIhYaLQ1KVWg5R/gSZwVKyuBaM8EZZy34pqETLEkEywNHUUJVgTMe6z3eWerakWU51lQkcUS312VtNEIJCbzD/s4h3ljc/ZcKJwTSh8Q10TjApLj/sW/yxbTwWAH9JDjD5kXB4Xjehj5+E3M/8i+8mfGtGtbS0tLS0tLS8jXBOvjiW3P+q7//Dj/73z3E8pke5TxhfmeGqyrKpIcswdfhvbVQhs3TMf/Rn/XYowTpKm49P+bKCzscZRFxpEgjw8lzCckoYnzlkFc/vc1R1WGUKdKVgrXLMddfmLF4MiHtxhzcnLI3jehuLnLx29aJz/ZAS3Ce6W7Jy//6gLfezqlKQd2YEaSVvHa1Jvey2ftZhDdhb+CCmcB7T20cZeHxqaC2UFeOg/EaVWWJ6xyt+8RJzMVLD3Px0sPoOEVKjRdgjSErHEsP/ijx7VXql38RT3YvgsY5Q6Q8D5yCpx7UDLpHzPxdIp3RUXeIVInzBidAolASul2PXYiYTmqM8VS1IxaOThohI0lpah4879mZFMxchK1LdNLBm5qlBcWP/tAjnD25TF1VxL0+7/vos7zwyeeYTXKcjHnXSNC999SRlgy7KVIIlAy/XLO39R72ZwVKSp564Az9bsxn37zaHka3fM1phbCvgCy3fO6VCT/7S4rF/kkevZggG/FKiGMRBdACoUEoiXQgKoevPVo4pLAY7xDOgW2aFqW8Z/oSx3nzwL2GyOZD58D60E6pU0Io/jBFJBG2sJQzw2xiOZoYDueG8cwxzxxl0TjBHAgRRDDbiGAhIcvjvcPYMBLpHDjr8cYjfYV0OdJHKBGRJoqNjQ3W1zZI0wgpBLUxeNEhHlnUZM7BuIJqm0hatPJI4UkSgZaghEMriOOMKKpQSqKVR2mPkICXeCnwKoTsIx3SQo3HiWO5AqTw9PEsDyVZCdYE11jtPM468rwgz3N6HcVo0KE/SJFnToRxR3mN3bu7eNsEUjYpYcdCiBSi+cU9R56X4bVwAhQeLWDUSTi1ukRV1czyEufaFfybEfGu3/3vPtZqaWlpaWlpaWn5qvPLv3nAT528xk/++Hk2znQ5NJ76ULO5ADdePcIbh/MKnCXbyqEAFUXceuOI5z61haHD4nKCqx3dYdrkLQuyg5qDss9otcPjzwwYnYoQWpHPK3ZfqFhbhcXVPqtPD1GrHdRaF5TAG8/OtRmvv3DAjVsZeI93kjwXOMLYo5kKotggpEd4g7SGqjDklUM0DfTOETKUyyqIW5WjzzskJqM4WkTLy2xsnuTy5QfRcYpDI2QYM3TW8daVd5BK85Hv/AFu3bjOc1/4LB6Ps4ZB6nn0guTyOU2aCBI3I+ILeB1z3OcoRcgJU1KFUU1hGQ40VeWZzCrKacFoLWXQUyjhWOgpIml55Jzli1ci8sLjjEEqxe07O3zuxbfZWBlinePl125w4ew6H/zOD/CZj3+G6bgAFeO5v0fzPrybjpQMaT7eh3iaqqQwnmlRszetWB12iRS894FTHM0zrm7vU7QB+i1fQ1oh7CvAA9O54beeP2JhoPnrf3GT86ciogSarsHg7IokQoUFwTlHXXpM7rCVw1Y+NDUaF+xSiLBAhFQqhDqe1ruvgPnGEeUaEUylHtHVIQ9MqpAHNrNMJpbxzDKeG6aZYzYP1b7GCWyTYSa8x/lwcuF8I4I5h7VBCLMmjDF66/EWtKhIxBG2aQBJowUG/R7dXpdIa5z3GK8wFHjVozM8QTzKyA8dwuyiZI3Wgm4siaMghknhEMKihEWr44VaviuTK4iIRhJsWVU4EXKNcBiaKj1aOlZGkryUFJWmrh3GgLWOsqyYTCbMphPSNCJOEqSSbCBARTgh2b+zHb5P4QFJ04CMFDQ/OJqXQIAPClh4LWSw9EZSsDrskRUL3Nzep6wMrj3O+KbFN//W/qiEQoj29W5paWlpaWlp+ePw9//pXRb7iv/sJy6wcKbD2HmynYK1MwMWHuphnGX21pw0iugspkgBK6d6pMuLlE7x6BN9jHGsbsT0VyPA0lnt4bqGpc2E0ckEmUrsxFBMMvYnMd5JFh/sEF0cInoxCLCF4+qXjnjtiweYyvLoQ32klLz1Tsl8y1LVHqTHANI5YgyRCCOKVaRItcYZx3xe40wwAWgfDs7TRNBN5ljzFrWJsJXh1ImPopTC+2AE8IT92d7BPjdu3ERHCeX0gOW104yWr7K/c5vlgefZRzSnNyRKgctzqEtkosL3KJsoFxGmdZRsDvUFRJFlYaiZz0qoDVJpZuMSDYxWOqQdycPnBbPc8/oNjakLYt1nMiv42K8/z4mVHqYumM4L4iTh0uVTIDyf+JXfpiyr+2JY875Y3DMv+HsTQghBVZfMi5rlXspyL0YKKEvDs5fPoVXEy9dvfWNuxJY/EbRC2FeI93A4qfmVTx2wMFD85R9a5+SGRmkHXiGUQCgNAhyCqq7IJjXlpMRUNriQCM4o2ejnXnocBDHsXjZVMw3ZBNd7BDoSoRmypxGdGC8k9TzkZI0nlvG8ZlY4stwGJ1jlwohjWIaQwuN8eEx3TxhzOBtywaxxuNrhjGtGGgWaiq6eIPHU0iHsACEc7lhQ85LSQGnAotDxiM7wJLbKkEVBJMb0UsFCP6XTScA7TF1Q1yXgkEIQydDSqCT3vnGPD0KDCAKYcMffB9AIeODQynJqVVIbSVUp6lphaot1jul0zjvX73B4NGF1eYRSEkaCdSHxMgiPe3e2KG1wyR2H4gf9zSOFuOcW8jKUGXgl0d4RNe68RGs2lkbMi4q9wwlVbVpP0TcZv3sK+Y+ClKJ1ALa0tLS0tLS0fAXkped//Pnb7B05/uu/+QBLl3rhDXYH1OkUDkoGvYQo1ggH4FlYSvjgR1d4442M0VLEcDlCHe9wjWW0EvHBjy4SKY9QAp87Dl+5w9HMITsRK48M6T+6jOjHeA/lxPDCZ/a58fYYYS3nzvVY2ejyuRcy9jNJnAqcMOBsGPUToegsUeCjiMppEuEwxlGWlsqYJinHE2tBvyOZ5oJYGyJZEHcPGA57OCTO1NR1jvWS7e07vP7qK5gyQ9mcQxsRD9a4eOlxFuJ9HrtQs7GsWBwssthbYvfqK0wKR4ykmxT4NEVIhbwngHnCiFLIou71BEuLMeU4pzaebO5IlGfoPd1YMOwKnnzAszvW7B5qTJkTJR3evrbFL/zS7/DdH3qQ9zx6gYvnN0lizQOPPEBR1nz6X36K2pR4Gd/bSxFeKqARxYRARzELg5hB36NEyII+ThdSXvDgqTUmWcb13YOv813Y8ieFVgj7KuA97B6W/LNf32PQU/zo96+wthJCAIVQeCReNoWSUmC8oKg984nBVK6ZnRZ0Yk+sQSl3fx8ugo1UNCcDDhBSodMI3VHINELEGusk+dhxNLZMZoZZUZMVwQGWl46qDiKY8wKHR0rC41nfuJaCmOSsxVqHNeBrizcO38RdCR+aT1JdoiTU3lBWKdu3r6CjmG5vRO0VeVVRGYd1CucjlOqSdoZEckBf16wu9FheXibSEVWVkc3H5PkE60qECNemRGhUEU1yuW9CITUOpyXSO4wN6WbHMWzg8dqxKA14iXMCayXWKoxxFFXF9Vs7vPbWLc6fPUGaRI3QKGiKTlBKsHN7i6Ky9yxgohmWDLqcuF8R7D0SUE6ilCPyAo9k0Ik5tbaItY6j6ZyyNq1T6FsY2djX257JlpaWlpaWlpavjMnc8Qu/tsd3PDXkz/zAJguP96AHIpGoEx3Uqkds1TB1oTQMWF+NEDblrRd3KKYl6+dHXHxkIex3ioq0LBCR4vC1GZMb+xweWJbPrnHuAyuMHhpCqvDWMz2oefHTB7x5JQcHg8jTT+C1N+ds7VZAyAPTyiJUaIaUQiCcQ0eCTER4wuifqR14jyKMAwqa2nsnqaumWEsISuvZvXuLpH8CHadMpwfcvnmT/f0DsqwgjSReJZQyRdqKk+tLXF45SS+6TRQNOXXxIzz12EM8/1ual7/4Kjenq1xItklii9VBCAtDNsfmCh2uRVqWlhJM1qM0jsWVDql5mm8AACAASURBVN1UIqNgRhASTm8Innkk5ZMvRYzHU5w1CCl5+a0tfvB7nuX9Tz+IF6FoLelIzj9wnrIo+cJvP0dV1YQWN76sfep+P5lERdG9fGYlPNYaBGHSZl45nrl8DuMcWwdjbLuXavkq0wphXyW8h639kn/6r/ZYHir+ne9eYjjQ96pk0RKZaKJI0hUh86pGYqYVVWYoMkdeCnopdCKQyiOMRWmHVAKlJSpSqDRCpzLYXhONUAprBLMjy8Gh4WhuyMqasgoiWFk5KnMsgt3PHfONC8w1c9uCMG/pTAjJ99aFofbjRceDcCC9AOkBg7cl8/yAO7dex4iYtRMXQCWUlaEsa6rShEXQ1XQiRy/usDraZHN9g4XRMs4Z5rODsEBjKEqHwAIeIUX4WXPcq4tECY/zklh7HEEou9fqeO8yPU5aloYO68BYgbGKrJB4B4fjOa+8eYP3PnGZs6dW0bqp7vV9xImQ9yUFbN3aoqwtLgSVBdeZknipcTLGoKidxFoLLkf6HOVr4qbmc6nfpVq1OOeYzHOquh2T/FbGteUILS0tLS0tLS1fFXb2Sv7b/+0atRD8+b+wjkgkxM1+JQJORjBxsG8Q82AgWF2N2V1IefVLGTs7YxYXYqTQVIVlbTVh/+YRB1sZ1kSceHKT1Q+vIZdSkAJXe3avz3nhs0dcv1sHE4CTZAau3yzYyQSuEbMkHiVcEJV8mKAprMM7gY0M4HHGURYGnAvX7BwWKKzHO0Ntjsu5wJa3uPnGx7m7O+HRpz7M6vomSdqlNK+xf3iEFzFexAhbQJ3jjEHFCyyMJAvLD3Ph3AW6vR4PPvkR9rduML99wN2jEaejMVFksUIFNxhw7+RfKASeKIK1E10OdwuE9GjVpEV7MJXDuYKLJ1Ju70R8qUgxVUmUpBRlzS987LO897EzrKwuI5xFa8W1m3vEwwWe+MCTvPy5L1JWNZ6o+ZqNwcCHySaje1S9UxgREUlBmt/FZ3tYZzmYZhzmlpV+n2975CLPvX6NK7v7X9+bsOVbnlYI+ypireed2xn/6GM7LA00/9a3R6R1CJdSSiEihU41vW5MstSjf8pQTjPm+znT3ZxiUpPXHi8gch7lPSiNijSqq4l64e/LJEJoDUJSFY6j3Yr9/ZJJZsjr0JJYVo66dtTmXYH3BHEJH1pMnAcvwogfvnGCueNMsGbWz4eWRlwzoigEoHBOU9aKsjRMsz1q8Q5GdOj0F3FOUlcVVZ5hyhxcQSeBtYVVzmwusrq6RhTFmKpAKRlCHLFI4XAuR0p/f45dHjuwwnFBpCDCYfEoQfhB5e+LEJ4Qki8iz8rIU9VQ1pr9cbBbG+u4cn2bz734Jr1uyvJCH6UUURzR7/cQJ1bvndjcvXWX2jmiSJB2IOlqnErITExRpoyLmNJCpEoSjhBugsSgvSTVmtVhH2sdQggm84yiqtsGlG9BWhGspaWlpaWlpeWrywtv5/zNn3mH9z3R48xmhFyKYDkGHXJ6WVDQEXBkEQcWUcKD71nEuIhbN3KSJCLLHK+8PMNejhltDji1MkQsd+heGCKWEvCeOrNcf+2ILz1/wO6hpao1tQXnLLmH7E6FiDQ0h+XCe5yzVHWIkvEehPPMAZ1UKCWwtcUUlqq0ZJlFGItWAqkElXFIrUIGsgNTFtx541O8vP0WV955m4/+6T/H7s4e16/fwKkULyTYAuo5dV2RRpLLlx7nPZdHLAz7LC4M8EKyvHGSh57+KLPxP+f1/Zjb+13O6ilKaxD388GEaHKsffgfIlZ0RxHCeSItERLKwlAZcEhqc8ilkwtcvQ1Tq7F1jYoi3rp6l3/8i5/mL//734mOE8aTOW9cuc1o2ONDzzyOs5aXPvtS8FWoIIZ5BJkaUskOdTTEiT7EPSoVk4su1JqDW69xlJUsDXooKRl2NE9dOk0UK16/vfONvCVbvsVohbCvMrXxfOmdOX/v/9xifSXl6SdSFDGiK5BKIqMQYKi7kCx4+iZhdKJLfpiT7+Xk+yW+DFH5UaKIu4qor9DdCNVJEHF83wU2rtm5U3B4UJCXNVV9X/yqzXHgfdCJjrfq4neJYKGe0t1zgjnn8caB8UF88v6eCIaM8CKiND2mZcSsgHkhKUxO6XdAD1lY9kQ6wZsKV+dg50SyZmnU4eSJdU6cWGY4HAICU+VorVBSoKVHC4upJUJUCOmboPyQC+YReC+aEVNH7Q3CGzz2OM7r3siiOa52jDyri4JJDsZqwFFbz2Sa8dkX30HFKe977Dyri32SSKKUJEkiFhd7FGdWcHZGVRwxGsHCoqfXK/CiYFZKbh+lZHeWmZsutUowQpM6B+UY78PpT6IUK8PePSeYc2FMsqWlpaWlpaWlpaXlD+f6nYK/9rff4Wd+8jyXcoOY1HC2C4kMe5NEwpqEvsLv1uix59En+iBge8/QlRVaWjrnOvg0RkaKwaUhpBq8p5gZXv/8Pu+8NWYyd4x6gnpcMc7C1IxWDuM8MQatBZpgFjCVparBmuPsZsLezZhwaC89vQiEk9QWssrhvEN6iZCCjkoRugvVmHf2Jc9dsezNdzk8+k1m85zlzcs4mQThyhS4eo6pS+JY88xjK3zwyTWWhhFShkxmPGgd4bonWT11mdK+xW61gqtzkrrEJuk9MSygQIK1NfNpQkd7dGzD3qs2RMITdzR4MF7gGfP4xWU+93pJVZZIp7ECfu1Tr7C62GVzdcR4MsU6z7kz6wxHA5758FOYuubFf/0yUoBONEd+ibFapddTDBLJfqYRXgdzhO4hVh5lmE9Y6u/TiTWRChljC/0OT108TVFbru20zrCWrw6tEPY1wBjPc69O+Ol/fIu/s9bj5EmNqu/VPyKECwq8dHgZESuBjiWdoaJejDE54EFGHpUqZJog4wSUwjlBWTgO9gq2bmXs7xc4U2NMCGW0Box1WOewlnvNHGEk0jcjkT6M/HkQ3jbh+M2phvV4E0L8vT82WwmE7iJ7Z4kGT1DMPNPiGtPyiLIuca7GFTNmR1toFdFNe0gswtfEsmbQk5zYWGVzY8TCwpAojpBCYCKFkhLVZIJJLGUm8D5HChNa+xoTcqgSkAgvsdIifY7xOdY3z2Xz3IYZ/PD8eQX9DmwsCSZzwbxUWAGVFewc5rz0xhZRlPDw+TWWhzHeFFRlRl1P6aYFp047YulZHjkWBh4Vh9KAsoaVUYnwU166fpLMDKhVFxEvo22Ns9PGPg29OGK53wPvcc4xnmVUxn4D786WlpaWlpaWlpaWf/PxHn71E/u40vN3f/IslzY85BPE2S70o1DrLoC+hDSBgUHvGh5+osfNN6YcHmY8+QNreJngY0n/fD/kgXmY71c894ltdrfm9LqKj3zvKuMDwxdenVPUNfPcgPAIFSYKlYRUhnxi002JpcIYy9FBgaldOMT3wTHWTVWYxKkhiTx6qKlLi5aK3sIlTjzx4yysnOX5z/wLnvudX2NvXiDwZGXN8y98nvf3VhksrCPrHGcybG1ASAap4KlHFhn0I5z3xFJgm8kf7x13tg8wo4tcPJ/R27qKkhZlghHDyBhoUqGFIlIxFJ5rOwusrQyIe9sIPFoJiGLGuzm9WNAbxpSV572PQOWW+cLru1hTIZMu+wcz/tH/8yKPPv4M/+53nefD7++zMOohpUIgeN9H3sc8y5juvc3TT1a8eGNI3Jvxb390xvY05ec/3mP7MENFHbyKESoiPvEkw93PorzBC9FE+ID3kqcunaGyljv7R9/Au7LlW4VWCPsaYR188oUjfvYXb/M3/tI54m5YDMM8XyPaEE4j8AKhBSpJkatdYh+aSBAKpAahcV5gjSfPLXvbBXdv5xwe5NiqDnPnxmMdjQDWiFrNjPe9BeRYBGuC8XEO5xzO+iYgP7jBvGlsvh4EChEPiVeeYHjqT9EZnaN3eEgth+TVa2TlLs5VICpsOaGa3UXbAbGWdBLJwiBic3XI5vqQ0ahLFIVMLkQ4uRCdbmgzwaOkp4wUpprifYnH4pwANF4ovA/inY8cRkVkmaX2oTtSNllizoeGR2gcbxbWRoK8ish9yiQDLxSohHnpuLE1phtLTK7QZNh6Rl2OcfUOSwsz1hdg1JfEsUSq8DVqC71e8DPP8i3evOso/QAnY3zUx1cF3ttGxhP0kgjnu3jvQMCkEcPaMcmWlpaWlpaWlpaWPxjn4Fc/fcDTD/f4L/7DDXpnuxArmFTQ0xApIBQisqLxfUW8JTiTDMnlkLqUJH1N/1wfoQW28uxcz/js/7vFdFbSjwXveXLIzoHgdz4/wVpPnEhqIxBSEOkQHi99aIYsdAS14DjTOIoV1rgweohH4YkUzIqQHybwKKmhs8LCxlOcevxHWN58CKFinvzoX+L6YYff/PWPUZQFIJhMxnzx87/BMx/8XiIVRjSFVESR4sLpPoujDt45DA4jPPm8IK8sN2/tsLd/xOkTGzzw8PfQffXTHBzcpC4niKrAK4VFIQUMOstcuvwh9OyAvvsk2zNPKiUeSKWnspLpzEIKuhcRR4JIT3jm4T539nrc3hpjTUkUp6xvnGLzxDkWFoZsrPXxQlLWwUk3nR3x8GNwfq3PUs/x6KUdljczvNIsLVV831O3+OfPncaqFCsiagu+t0ydnyHKrmFs2CxZ67h1lLMxSnlgc5VZXjLJ8m/ULdnyLUIrhH0VCEvh7yUvHR/7xC7ve3TEn/mOdeK5RQLNStk4mGQY8XMKkAhVNwH7UYhjdALnBHXtmM8M+zsVt2/njA9zTFmDCYJLyLb3wd3lPN4L3LECRnBK2SYgXzSDks4GIcyaIIY564MI5mjGDRUyWaCz/izDs99Fd+E8yISei1leKxmP58yyCpMfIr1DuBzqMV7mxCpl1BmytjRgdXnAqJ8SRyqIQcgm3F6gdGhuBI+SUEYaWw1wtsCYKrRcOoX3jQqFACwmTsEbSl9jrQsnNgKUb2LQaPLPmu99Y1Fg9IDteS/UGqcdok6XvJLc2p5AkZOqKa4+QjJheVixvqJYGWnSWKB00CW9h8gKlBI4JI/lhkl2xM1DhRcJXiegE4QpET5cU6Qk/SRC0EVJSaQV42nIDLOuVcNaWlpaWlpaWlpa/jD+9/97m4cv9fjhB0ZoryAGCgdzC70IorBPEAn4jZjaSeqJo7cek66mCCmo5pZrr0x4/rl9iqwGQOKZjy3PfWmCMcEJIHBoHZrstWoMBNZjPdReYJ3DO7AGpPfEWoQQeOuxzpHPDaWVeOfRQuGHz7By7ns5ef4pBqNVvIwx1nI0zVg7/TCnLlzl7de+gHOG5ZHk1NKYanabZLTBwihm0Is5v9njA0+uEUcKUxuyvMQmGiEV2WxMVRseunSGC2fWWVjoM1o9wf7WdY52rjDev844P6BA0BtscOHiBzl77kFMPsNNbpHe/CIzC1bFICRpBMOlLpF0CK1IlUcqx0Ae8sCpAXsHEYsLS5w6d5knnvogZeW4vTPjiUt9rKnZ297iyttfZCG6zrOPK5aWh3hTMFhOKU0wakjh+fDjh8yrHr/xyhLW2iAYIqiG55CTa5gyo7RwOK+YlxbnEi6sLxPpiKvbO1y5u/eNvCVbvslphbCvMbe2Cn7uY3d48MKAR/s9fOlAB6MXwgVXmLA4NEIECy5KgVCNCOSpK8d8WrO7U3Fnq2C8n1GXNdSuGR9s3F7uvhPMvdsJ5pvAfIJdF5oRSXssgjm8BW89rhmnlEKh4gG9zQ8xPPvddBbOI1WCd54o7tIZrtAdbpJ2D6mrDEmBFhXKz4hRdGPHqD9iYRjT7UjiSIRQcS+QQQ28F9golSbu9JFKoaMEZzK8q3G2xhrbhP1LhAjPi3c1ppogqJE+oyotxoaWFiHDYzZaHt6Dlp5uZDgxMCT9PhkjhIyJoxipFdM852aV0WGPVBUsDRWjYczioqDbkWjFvcwyf5xHBgx7ktPrcHlaMCnmjAuNlwoVp4h6fm+0E+HpRBIlE5RSxJEmiSIOxjNmeYltw9ZbWlpaWlpaWlpa/kB2Dyr+m//lOr2u5M99/xosJYCDgxkcVLCWQl/jaxhfr/ElDE93iYYRQgqKcc0rnz/grTcmzOZ12CdYz1HteOPNGUXeTJgQ2umbPHu8c3gPpXGY2uMTi3fN3qt2OGuxtcXXIW+59I6scEgt8d4T9c+y/uiPsHn2MeK03xgdLHfvbvPG29c4PJpw/oEnONy9g6pv8P5HFafWNHN7k/OXL/Geh9ZJlGN5ISXtxmEvIiXbe1OEFJw7tcL65iYrq6tEkSKKYpwXpJ0encVT9JdOcspmTI62yMo5K2vnWV5aD/uq7pDRxQ8z3b/KbLyHFIpCJCjpWVuWgMFhqYynrh3GOVZWT/Ghb3svlx98jMHCKpN5xfRwm5fenHJiweKzN7l+9UvcuX2LDzyesNRbwSlFUSmMdYDgOKY6ijzf/vhddmcDnru2icDjrKXKxqTeY61lPCuZlZ71QYd+ErKlz66MWB11KKuaW/vjb9xN2fJNTSuEfYX8QW6wY6zzfOoLB/zdf3KDv/2fXGSYOpCeKJEI7fHSBNFGe6T0CCXxscATxhhN7chmhu2diq2dkqODgiqv8bUL7Y+NmyqMOBLEs0atEULgfBDHnA8ZYcdZVcEB5pp2yEYEc2HGHC+RSZ/OytMMznw36cIFlEqOpzhBaWTcJeqOSHrLFNkhmJpIGlJVkypJLATduGLYlXQTTVnVGAuRjtA6OLeEFEghkFIilSJOe0gVYesu+Dpc6/H1OnGvHNI5g61ioMaZCdIXVLXD2CAMCgm68b157/HS44UhkQVDUdFNu3jdR6kYcLgaZrZPUecMopiBV0hZECUFMhKNuNa8oI3jTCNIY1gaCk5vOnYnM968leJ8jIoipI7BhywwIQXeS7QUREqSakWswkLu8czzsnWGtbS0tLS0tLS0tPwhXLme85//z1d54GzKg5sJqq9xkwqbG6KpwS8m7O0J0q6id7GHShUeyA4qPvfxu9y4NSfLHFXlsA6kEJR4clPjpArv+XEI5zGlpaotTcBzEyvj0bbGC4F0Hukc3ljK0jCfGayBOBLEiaQnHMnwEmee/qusnH4CFXVwSAQO5yxFVSOVJtIaHSU89d73s86U5VEIi17gLiP9GhsrZzB1jbMldR0jpcJ7z+27u8wKy8mNpTBxEkV0U4X1IbtMCLizM+ZoPOfZpy4xXFxDYEkijRMaYz1KCAq5QNF7jN78U8yrEuKIGh0O8wkOt6Kw5JmlMCWLiyusLz+N85Kjowl55YiSFF9X/Pbnb3K5/yJuuoOZT9ja6VEjKGcGawFEKGNrxDCAQcfwvU/d4DDr8fb2iDyfUx9uEWcTup0um0mHNe/RUqKVJLxCnkRHXD65zv40I6/qb8wN2fJNTSuEfR2ojefjn9nn762l/JUfWmeUhMVVxQ6kwCOwyuG0xCmPMGGsz1jIMsf2XsXOXsnkqKTMKlzVCFgiOJW8D8H4ril5vC+CNSOTCKQMlt4wDtmIYC40Qnrn7olg3gmE7hANLpKuf5hocBYhYhwCS8g+K21oEBFRQpT2idI+Lp8Sq4KOrkgUeFtj6j6CNZJ4gdo4ZrOMKDJ0uymRVigkSAnOIaVECEkUp+g4Ce4xa0LWlj9ujSSculiDVIouHmtmeDs9TvXHNpZkAN0EXGI9Tli0qIhFjpIZIh7ihcA6gUg6YBxOSHI3I6sMednB+h3QQaB6txCGD5cdaej3BKvLgpMbFQfTjMOpRnmJ0xrhJJIwHuma0gIlBFpKEq2IVHDH3d0bkxV16wxraWlpaWlpaWlp+UO4ciPnv/zpd/gffvw0ZzdiJkclk2nOiROOQelYGHWJLg4QUmBqx+GNnM9/8i7ZvKbfi+h3Hdu7JbMjSxQplJJYA5H2COGJpMc5G97Dq5D/ZU0o59JK4GzIAOvGAoEAEWFlRBQZZpPy3nVGgwc4/fRfY+Xs06iog7GebDYh1pqd/TFvX72Nc5Y4SdFVjeuuIvVTaPk5oEZL2N99kxvXT3LixCO8c+Mukm06vT4HB0dcv7nFxsYG3rlgpGjcVNYa6tpTlDU3b94hq4IxI9YKKULeGc2EEN6xfzjhynSZJ9Yfxt59FWVzimhA5RXCO7wt6EhIRwlCWLLiN5hee5lZ+u0srj+A7vWQqqLAM5mP+J1rD+LLTc6u7PPtHzKUJsE2DrDgyQibKnGcFCRhc3HGn37PNQ4+fZFbc4WyBbWpKEtBmvbQIoiWCNGYOwTTvGKx3+ejj1/mYHLIS1e3KdtCspb/H7RC2NeJg3HJr3xil36q+OHvWmJ9IHClRahQo+trRy0EVkooLE5KslKwe2TYO6yYTCqKeYUrLViHawIavQ/jjM41zjQR7LLeHzeIiBAe75pGyMbKiwPhjgWasKg4C9YnSLWK6T6E654GL5tsMY/xUBtLXhnK2uC8ROoEGfcQJibSniSyxJFHiprZ5A7jwxGDwZAo6oD3ZFmOlAKRpogmtN9LmtOBsLAJBFpp0KFM4Phz4SDGh4DIOkZrBS7Dlvs4U6C8a5ouBd75kMeGxwlQ0qOVIXIzvMuBEppTGOElQvWwUoGJyVzOLLdk+ZxOb45U98dMReOKE1IglSDS0OtIFkeGtaWMokyxLvzglFKF9kzAAZYQDycRREqgZCdYg71n72jGLK+o2wW8paWlpaWlpaWl5ffFOvjlTx4xHlt+6q+e5sKawteWyVFNN4mIZgXiqKCKI955bcKrL+xja8uF8z1OnOrx9pU5eQWVrSmrMOqhlECp0AzZiwRGaWQi6QHGwnxeU1Y2FHzJkM/fTQSl05SZQQiQWhClCmcdSawZrjzEYOUhytKhXPX/sfemMZal+ZnX733fs9393tjX3DOrKmvtrqquard7tbE9Nm67x7LHjISXGRsMCAsxlmAsBHxGICQ0Gj4godHwBQtGYGYY24zxhtu9VLe7u/bKrNwzMva4+1nfhQ/nRGS1YRgL293u7vOTMjMiMpZz7z333Hif9/k/D8PRhAcP97h2eZu7Dx5h7anbDMLAZzabMHOL9GWXyBvihKAoYm7f+ir9/grr6+u8//4djo5HzOKC7c0Vrl/bIgx8tLEUhcYZCSZj/3DI3QeH5HnBtYtbhL7EOYs2hsJBoRNmcc7JcMr7tx/QH3RZvvJJbHbC7Ogh0gRoGSGFI1JQeC2mxzGBb+hGDvRdsAOM3qLd7CBU6SAr7AIm09jAkC32uZ9NiCZ/Srud4VS5Lj0tTXNwpo4pJXhy65jPPNvgN7+wzl3tIV1AYAp0nuAFEUpJtCnvs8JYDicxga+4sNhhc6FDYSS3944Yx+m37dys+c6iFsK+RWht2T9K+Gd/eIi18NOfGbA1kAhbOoY8B3nuyI0m1Y55IRmmMJwb4llOkRXY/LEIRiWCuVMnF5WyLmWZEWardkhZ5oI5WzZBOleKYBKBFZxljFmnKESDzDbRehHrFmlryApdimFIjIW8KMiylDzLsMaADBBeE+U3CDxJ4EEQODzPYPWIo8P3iRoNllcuEvk+aZIxm8UopZBSgnDVaKmrssOo7Menb4oqTL963zmcFAgZISQ4s0w720TnY4wZP7bbUr5Q4koRzFcO4wzaFWibY3SO8hoEQQMpJFiN8SKcbmDFnKM44ehkmXanwGsV5fHY8jgfUz4O5QuipRkUhEFBnPsoqcrbeNo8UDnzxOlQvBBEvmDQbFAYixACT8WMZwl5LYbV1NTU1NTU1NTU/Ev5o9en/No/eMD/8l88wfmLCoUD7SC32PsT9mP4xtfHZEnBUtfn/IUmX3l9zv2HcZV5rDDWomTp9FISFI5AQSEUzpQb8EKU8c1B1R6pRPl54Igzqgiacj3jeYLUhJykq6yE2yjfJ4gaHB4dc+feDrN5wsnJMVrrs81wAGc1FHOy7BgZloKbq4rEZtN93nvnC7zy6o9z+fIFdnaP2N4OWRi06fW6CKFwwjKZxaQCBr0mS8seftjiGoLFhQ6elGhryXKNluWGfJ6lzGZztjaW2dpYYbDQwk1exMUjAp2iPZ/CCXzPI80lh4cp3Tb0Q4/IFzS99ziaX6SIukRRG0uLVAq63R7CTGk2QsbBK9ybKi64P6LZkyAozRyIb3osHRD4lpev7PH2vT4n40tEx1M2GjPiJGGeJ+BC0jRhkhYM5xlGBCwNWiAEEnjh4haDdoOv3brPcJ792dOlpub/QS2E/QX58yY7OSAvLLuHKb/1+SNGM80vfXaFC0sSQXmBjSxkqcPmmjS2xHOHzS2+seWFUoBWpdtLULq7StdXJYJVYVb2tB2ymmc/E8GqA5FCVEHyDuskVgQYv09uekyKiDQbkI8z1HBEQYgXRiAUxjryPCNPU9I4QRtwMkJ5DTy/QeB7BD6EvsPzwWFI00P2dt/B83wWF7bpNCPiLCeJU3zfq0YOJaVFTSI/IIJx6r4q8+YRQuDOAusFUkRg+3QGmxTpESZPsDaD6gJb9kueXmwdFoMRlgyHcRIlFIEf4gcRzjqMLgP6nQ6YGo+9E0ev18cPTgh8g3QOUbnNrHVoLcgKR5xo8tRgClXafWWEUgW+ShC2um2Uj5WFKmqgPCrfU/SbDZwDJctx1vE8Qet6TLKmpqampqampqbmX8afvDnlP/sfDvlv/p1tPC/HZhq0QShHM7e0FCQGpDMM9zMe7sScJpE450oBTIlqykagjSXOHEaVixDpBMYaFGV7vLWnBWTVhIopd/GFc0jhmBcRDyebpHZAcWuKv7rPbHqTbn+pWmdo7j/cwxl7Np2ojWY+n6ONA6nx/RwhyoQuKUvH2MnxLW6892WeefZTpbni8JhBv4GtHFZKCoajOfd3T/jYS9dohBHN1agcgxSKQlukkMySnOFoxqVzKwyWluktLCIFBIGPMYL+hRfJh3cZ7b9HV2ScuBDw8D1Bd6GBHwiE9PH9gsDLCLPbpOl1wkaLTjNiZXFAnqcc76U0Wn2msWH/oE/eCldSgwAAIABJREFUH/BceITXCM7WoKJyw5WPBWgjeO/REsNskUbLIdw1nNhhJRqyfzwkzlN8P6RhBQiPXqdF4Kny66v7YGtxwCzN+PrtndpYUPOvpBbCvoUU2pJlhuOTjNfenNLpDvjlz62w6M2Q0uKH0LYSYySdwOIBM08wSSWOMpcLLMJWbSWuChwU5QUcWY042tIZJgBrSruYQ5RZXKcimHVYp8DvYNUmRm5S6A65LUiSgvhonzh3LCzN6fYW8PygzDIzhjzPyQqHwUN6Pr7fwDNl7pfvQeCftmKWYf1pssfersRTgkF/CykFhdbE85RmO8ITIJzE2lLgE7IUvM5cYZwqYaWTDVG54YQkbLSRLNFZOE8Wn2CNptBVMYChyks7zfgyGGHwnaZAImWA8kohTwiB52us0RjtUxiPw9jQ2RsQBAm93hxPlDtNzpR1yWlhOZ5pjo9zhieGydwjN00K2ccLBZ6dI4wuHXqU9cqOcteivEkCKQWR77PUkUSBhycl1lqmcVY1q9TU1NTU1NTU1NTUfBAhBI1GSHPwKsXGZxHe76LE+xR353jGMGgrntoM+HpqOBlp7M15uYlfjsggsQgBWoN11ViKBatBBWAlWGvRhSHLDFmq0UW1lhIwl+B5DiUkSkqUE6Te8+TCQ9uC+/fe5/3b/y33Hu7wI3/jb9Lpr5KlKdqEOKvL760Nxjo8P8APIgI0Shg8VYpD8nQyRmju3fkSg8Eqm9tPkRUFD3cO2bDQbLUpCsPDnUccHCUU2lQCkcOXALJcCzrHZDzjK6/fZX1tkU7Tw/clgSyzqY0U+K0FmluvMjm6Qz6f04kUMxugcKyvditThaEwrhSagg0ajZB2K6LdHXA0mjOapniNPkaG3Lt3F5dkFNN1euEJl85pZOCV002cTvEIkkzx2nurfOH2U2S2S6uVM9bL3C4aPOPfYXnBsHM4QpuCTrNBp5qAOuXUWecrxZNb6+Ta8fb9R7UYVvP/SS2EfQspdNls2Go2+dBzT/Hyh58l87sU4QMC8xApNGFT0nUK5wxZ7sgLR27KfK7yclG6u7B/RgQT5U6Gs666YJYh+GciGLa02dqqSVEIhN/F+pcw6gKGXtVemWDEjDSZk8R3mI5P6PVX6PcXCaMmCB/tJIUtBTVPKYzvI3UA0kcKiRQGTwqcrEQs68iTfY4OJEoKOu2NMsi/yMlThYgqocoJxOmLkzttaHl8mfwgohK4pPAg6tPun6NIx+j8LYxNsNYhVekyQziEsPgCQqEJrCETFucExko8FEp5oHyk0gipMAXMTMb9oxgpGmzqmEbkEM5idfm4TOaWg5OM3QPN/lHEaN4hd33wW+RC4uspocsp3WhlHhtVJlv5ZnnLPAW+8gk9RcP3QMC9vWHdJllTU1NTU1NTU1PzZ1BK8uILT/Dv/3s/y4987CnC7vvI4Bizn1PkBicgaDi2F332hpr3HhoOhgVljVUZim+MI04MeW5wzgMpUaocG/RxKGnxlUXhyCnXTgBZYZFeORyJhXbvPN3F6yivx/Wrn+P92/f5P3/nfyaZzYjjMZ1Oh3nmyA8e4Zyls7CKEIosixGA5zewGIRUHM8W2Z+tstHbRUpbBRSDQgA57737h7Q6C2xvrHK30Ny4eRfnLJNJzME459KFLQKvHPksDQaAmTONC0aTOW/fuEPoScq8/Cpip7Q6kGeWojDszALGdgO4gU5TnKdwQiEdOOEw1qHTgjz38dfO0+oNkCpgPJ0D0G63CL0OoQ/SZZwkQ/ZGTd66v0i/tcPiSgOhKqUPGM8kN3Y2+cPXF7CeIgoEJgpJ0gbCpggpGCWOMIqQeUY6H+NFTaQfctpC+cHVkhKC5y9s0PAlf3prh0zrb81JWfMdRy2EfUsRLC0u8MOffpnPfP+zXNxepNEQZF4IUhGY+3h+QdhStJ1PUeSMZxa0w2pXNkVad5bvxanQVDUqnl4GhBBndttTMUlUriRHNUeJwnl9rLeOVQtY42OFAakR0itHObOEPJ1TpGPyeEi3v0bQ7IEXAB7CgRQWTymsCEh0k8x4NJw+OxYlBCjw0OTJEZPxfZqNPmHQIslydJ6XlmRxOrJZXdCqmfzTnYIPaP5nY4WlRUwQyCZSLNNfvobO5xR7N3CFBlOKYFJVgfkClLMoNFKUjTDWVvXJTlauOonwBMIa0qLBwdyniCXWWAb98uuKwjKPDaNJzvHQcDSOOJn1mGZ9UjyQFpzEyQ6RHCGrlxgnLcKBtg5zdrtcVQ4gyxdeFXF+aYGsKHc+4rR4XBZQU1NTU1NTU1NT8z2MkpKXP3Sd//Tv/yKfeGWNKPoK0r1BenvI4a05SdJmeTHFa0uCluKZCyEnM8P+1ICzKAENr3R8GatQgYcxgjQrJzeQsjQMCE3LF1gl0VLhN8t8ltk0pygsQkLoSdr9a6w+9Utk1iO2isL5nIzmpPGMJMvQesKjO29wYaVJEHoQWzLXxBQF7W4fh8PgCKMGRi+yO71IJ5rTb0yQopyWOZ2TSdMTbt74As8++wOc314DAcfHQ9bWu1y41GBzbYHA9zDWkucFWkMYSLI0ZnhywvJCj421ZVqNAChNGlY4FJrZaMLDvWPuPTyhvfBh1gvN0f5tsCmJ18RIiTMFTscIHH4QksRj5GzMymCFlt8kyzXxfM7CoEMcJ4zmYP0lXATvH2Ws7RzQCOc0+y2sUMzSPr/9BY3fWKHfFuxPUgIVYgqDrwRJPmVmptw/muGA6+ttDs2EJJ4SNEF44dl54aoMoNNV09XNNbSFt+/tMs/zb+UpWvMdQi2EfQu5dGGDn/nsJ/iBjz3L5kqHMACExdg2qbwIUhCau/iBptVWOBtgHfie5nhmiIVAK4E2AmNclQb/Z574Z2KSrXSwUmwxVUetEGX4okVhZRMnWzgRYKtELSklUkqEEFhrsUUMOgadYHVMZ7BO1OwhvQhXRUVKCUZGzPMek2RIM8yQqhSeZBX0qAQIV6DzGbqY0xssYRxkaUaeCpSUaDQeDiEVTjhw6nSm8XGA/mnX7gcQUhKEbUR3nSWbkWdThsePEM4g9GlIvURKh1IgrUVgsFZjihzjl1kC8kyakjgU1nlkhUc2tjidszyIEcKSF5Y41sSxILMtUrNAxoDcRaRFTlYkWJMj8jmtQND1zrZzkLbKbKOa3KzGPuUHbk87DNhaGpAVmoOTKWlW/Lmz6Gpqampqampqamq+W/nVX/kZfuJHP8aLL0RErT9GJreY3Znw8HbCnCdZvPgKjehriPUHIAVd4/jwpZDfezslKywNDxZbgnHu4QOeK7OVEQ5nBUrJclpDSiLPkjmFNGXBGc7iB5IquguhIBl+g4O7X6a18QqPDo/5zf/1N8g0dAZrjO/doMgSju6/xkc3fRqRokh6TMQ2rXABXYD0u4RhgJMe1sJ8usKtw4tstO6w2IuJwsrR5EBYw/HBDR7eX+XK1ZfZ3lzBWEeR56wtd2k0IpACJSRpVrB3MOLi+RX6C0v0+gtIKQh8H0cZxVJowzTJ6LRDmp0Oa0gWFpfodVu4SQ+T/Abz8Ql4HrEIAUvTF2SiwWSmadjXODloE4QRrYVt9o7HeFgGvRZ7B0dkeYFAYWULW6Ts7I7ZXhRIKRkWq7x2s8/bdxKuX3UoLHmW4PkNQuk4HO1w6+br7JoRsih4Yq1DKwpRix12D8elGNZwCD86OzesezwwKRxc2VhBIHnj3kOSvPjWnqg1f+2phbBvAVIKnrp6nl/8N36Ij770DINuG08ZHAXWOJyUWNcklhfBc0T2Hl6k6QACDyEp0/RnlnlmKZwDU2VpmXKU0J120UL5Pqdz5Q5jRBlEL0v7a9nWK3HG4LxSTDvTm3Bn7iwpHFrn5LZAOI2kwBc5Pqt4UR/lNXFWlhc41SSnyyjt002mBJ7Bkw5PnZ5kpRglRNmyGDUipPIYWUuaZiipCJsRRWFxCnwhQLqz4yn1L3F2nNZarLGYqnExDH3CRh/BeVY3p2TZnMlkjFAGoU05jihACYsSBcLkWJ2j8wTphSAUUqmqXECjixydzTFFgi4yhpOcIotx1mCMwIkIL1qkES3iuw6FFzArHHqeMB4NiedzhCvodQs6PQ9PgkSisbhqRNWehf+XF+3TVk8B9BoNNhb75IXm2Fryop5xr6mpqampqamp+d5kc32Zf/uXPsff/qkfYqVraAafh8lNDt6dcOdWwu2TFVaeeJmLq8tE6xIyn/xBzGQ3Zanj8cxWyOv3EnzhaIWKR/PHY3UCSaAcKIFUEk+CcD5JlmO9D27CP26RPM3dyvNDju/+b+yd5LRWn2Hj/NN4ykMnJ5zs32McD5lNNaOpZLkjcfaQQB0zn/rkwbPo7ksEQQDCw9oIY7qcjLc5eORzycy5vv5umX1MGbNiTca9e1+h219nbe0C57eWuX13j+OTEa1GVG7qC5jNE96+8YCVpR5Bt4XvewSeQCpFVpTrJ2ssX3/nIU9d3WB1scfySgNflQaFOLrC0sVXcO/8C3w7xygfLSDwPOIY5scjolZCqLa4c1uxHKfMdJNGKBmPhxRFjnMWEDTknPXmDXxi9mdXScOnuLMvebQ/54nLC7z43CVGU8Pg3ow//NIbvH3jFrPxMdo6JkLwkY0WV1Y7+EqiooitFcGt3ROy+YygJcALzuaHzgriAE9KLq0vkRvL2/d3yOsxyZoPUAthf4UIIei0G3zkQ0/yt37iE7z4/HWazQZSSCymfJZaWzqXpMS5iNhdAOWIeICKCsLCR04NpjDowpZOMGeRlfBlRNms+EHLkMMhq1HAKiasdIa5x64xtAY3RZgxQi4ghY8UDiksSoKvBIUs63yNzpHkaJHi/AQZ5nieASVxqg2ewAhF4TxGaYOWDGmHGQ3PlmOPSBAeXtCh2Vqi2RrgByFBUCr40+m0FMM8hR8EGAtCW5SUCPm4AVJWtqmi0GRpznSWMk8KrBV0Ow3WlrsEjQGdxSdYTWPy/OvEcQLKIU/bWYQmlDGemZHqDpYYhyrHI/2gtB/bAp1OsMkRLjsg5ADPTcgSA9InaAxo99ZpdVcJGx20dkTNBGsmTMcz8nTKbDrFmZxHFlaiJr0oQEmBcBIn3VmuAIIq/82dxUY651BC0Gs0WVvoYYxlOC3DL2tqampqampqamq+V1BKce3SOX79P/w7/NCnP4x2OXmukEfnGN57l9u3NPv5MxzQ5XLvkN7a13CzQ6bvx+zcjsmLjPVlydX1gPG8YOcwZzI3GK0ex484g5IGayRF5qMB5yyxk8iAchPbOTCGIjPE8wKtHb4vkUqg1A2c7ROriPPnLnLv1jvo+ASTx/gUGO24s+O4tiaQvqLIUubjKWHwGl6wCN41QtXEhmU5WVEUpM7gewlSfkCHE5STK86hiwQpBWEQcPnCOjfev8eN9+/QHwwotOH1t26RZrrKji7XF9Y6cDm6cGht2T2YEE9mvPnmPbh+npWlDoEsI3aUH9I/9yLF8Dajg/fpknMiAhDgNwTNUBBGglZ4n0yvMxq3aLYl85jSSGDKUVJPajY6Q64uXiQPPkFr+Rx+I+KJRceVa4bQlwR+QH9BsL3ZY2/nLb701SFJMscLIpyxPJhqXpQSIRVSCDzfsdRvczCcksVT/EYH6ZXjnqdrqfJfkAKePLdO05d86ebdOn+55oxaCPsrwvc9NtcW+eT3PcuP/eCrPHHlAo0oKtV3BDiFJkA6i3QWBSAcxjVIOF+KYXIHv5nT6/nMEkual+6tTEiMdBQazOmzHM5cRUIIVPWOpXJ34dDVlDnO4ZxFOk2kMnwvIzESLS1KWAIFzpdk2CrDqqpJ1CnoFN8U+NphFAgPTGGYTw6ZjY/Q8RgSS9fXNAOB8xWoBl7YptXboDfYImoNkMpDSUm700FKiR/EaF2OK3rSx1ZZWtKd5kQKcFBozWwWczyMGU9y5knZ4BIEM3ShObe9gN9YpLP0JL3xEVl2m9w4pNTgLMJaAhkTiglz0yPPFMY4lNZIPyodZybFpQd42UMit0fkTVHKwwv6NDsr9AabdAcrtNpdlPIp8hwpR0wmMZ0gxncx0mUUOmc4dzwaQbggafoengCrylc0QVVm8E1CZvlCK5wj9BT9ZpNiUDbKTOYJha6bJGtqampqampqar77kVLykz/2GX753/xxnn/6PMYWWGNJrMX6F9CN7yPrDtGxx8efO+LZ5x5hj+Yc3pizt6cIGle5sDEiEiOcdVxZDTkaa45n5drLAs6CcJYs08SxwRgNwkf51ZhkIVBKo4TGExZfODyvGi00ZbSKFoa11pBz24I7JwHHO4J3332X46N9olAhHDw6tOyfWNYXQUqNkhmRV9D032RoVsq8K99HyZBQDTjQc0ZHt7GLliAQ1ZpB0ulucOnq97GxcZVq9UcQ+Fy+uM1b797m6P3bxHGOlB4feuYi3XZUOtcKi9EWT1qOD0bcezSisIJWq8F0GvM//dM/5sXnL/GR5y/R8B3zecE8E0zUNqP8gJN8mbAxJEagfMfChRWw4OyIteAm87CP8PsURjFPctpeytaCYXkhYHv5Io3Wdf7gC+9yODvg+evnEUAY+DRDSarL+1NKxTNPXaHz218hz0NskaP8gN1xzBt7c57f6CCFINVwY2/K1dU2x6MZRTLFa3QQKnhsLnCPRTGs5uL6CvvThFuP9r6NZ3TNXydqIewvGSEErWbIh569zA9/6mU++uJ11teW8X0f5wTWgj19glqFdUEpgpm8nDeXoF2bhAsIaQn9R3T6jg3rCALJcG45OR2RtKVgIqw8lbhwOBRUiV+Vk0qAse6sZtZZEKpBf7BJe7BCjsfJ1CCMxXkO6TmsMMiqwtfZHONyjHQImyONJrIGnWekWcZ8BtPRIZPhETqb4pKEHc/QbnmErSZBc4F2Z5VOf5NObx0/aHI67+gHAS0h8HyPLMvQupTrZDUK6WxZ6eskGOeYzhL2DqYcDzMmk4yT4YjRaAQ24+RwGclVtrdXiFqr9JefYjI+oihOsLaa51eWQCS0vBNi0yE3iiLTFDpHSA+BxWdKw+7R8o5oBpogWsWP+rQ6K/QGZYNmo9FCeV7Z4ZJnWCeYzFL63RNakWAiLQZDnGoejhyd0GOz28STEk9QBvMjcViMK29bpVJy+rcUgkYQsNBuY2wpgNViWE1NTU1NTU1NzXc73U6Ln/rcZ/iPf/UXWOk3yI0tGwuNZmf3mJWlAa3l57nSLbhoDji39ojiYMrDmzFHxxH+wisMzj2NdXdg9vt4ds5C0+PSWoO3HqY44xDWEXqgKNdlTvpoDbrgbIpGSoGS0A4EvlCgAoI2aGNJk4IiV6ysXeHllz/N2voSg31FNmow321w547DaoNSktHUcefQ0usIWqGlc66Fp3ykPGJ/9JDG0gL9dhPhhzx8NOHu+19nPpoyaEmevCAQUjBYusq1qx9lsLiBkLJqhizjclrNkCevXuC924q1dZ/FQYdOu4nvlSvDpNDM0xRnHbd3JjQbEQGC1994mzfeuMnrNx/w5a+8gfy5T/PSh57BmILxaMyYNTrLl3nvpqORZfT7E7RUeKKM3MEkeMnX8CcHsPQJfFYY9Ls8u+1xaVWRZJY4K3jw6ID7D/e5cG4N5yxCqXI95CwYg0ORF5rd/SFPXt7irfd3OBmWIffGWt7cnbDa9umGkpt7Y4YphEHA+mKX3eMJRTzBa3QRnn9WImfs48wwrTUvXjmPJwXvPdz99pzUNX+tqIWwv0SUkmyuLfLxV5/hR3/gVa5fu0Cn3UIIif3g+JsTj8fghFe5nSTOlSIT0qJ1j1hdRjhN4O/R7jiyzDJLHgslQjikLN1ezgmsA0n5x1KN2ElRVeNWIflWIP02K2tPsbp2ibDRRVuPfldzOEw4GcLQFeTzBJ8EYWKKIkE4g/HK0T4PSyQMQiRoPUXPm6SzCVkyxRU5syLnAZZmQ9AZtFlsrtIdbNFsL+MHrTKfrLSuIaUkCILyRUZJiryg0BohHrdGWuewxlHkBYdHUw6OE45P5hwdHbPz6BHjk2M8kTE+vkeeHPLxj32Y5dU1OguX6C/sM5t9FecynBNlRpmyNBkyIEAKQ2LaFNYvXVgypaHGdKMZnU6PRvsizfYSjWafVqdHu9UiDKsxR8C6csa+1dIsLfZZXxmwfzjmZDgjnmvyouDYWR5FPv3QL0ckq6AzJ8vRVU8IrLNlQ81pqact2zF9pWiFIfR61TnjmM6zekyypqampqampqbmu5JBt8N/9Pf+Dj/zk5+k1/BLsUcpcAZr4a33HpAWjicub9BsNVBik3R8nbtvP2Qcr7B45Qe58yiDscVbeRrlChrT3wNXcGUt4HBqeDDM8ZWg1wApFZmDpi/RVpDnoHNQSuApUFLQ8MHiYwqJFAYfifVD1tef4fkPf4q11XWEMHjFDkvNERe2lnmj12E4GuNJgbHwYN9xaVOwFAlCX6AUGGvoNMBvREzGR9y5e5N33nubk5MjrDG89g6sLPg8+/SHuPzEqzTCDohTEQyq3i2cgE474sqFTe7c2yVNM7qdFrZaW1jneOO9HYbDOdeubIIp+P0/fpPf+f3XONg/QEnDapgzu/e77PRh48qH2Nxusr6xTmDOo5Pf4OaDmDju0WzPscLhbI4tEoSnaPrHSPMH6KzBYvcaKwsvYlWIJeb4ZMjtu/usLHS4fmWN0PfKhCBXTjzNxiNuP9hnZ3fI/Z0RH3/1abY2BvyT3/kqWTInavU4mcV88Q4seZppDpeXOzTDECV8pID7+0N05QxDemf3jxCnNgMBVnNtY5Ws0Dw8PEbb2lzwvUwthP0l4fseTz9xns/96PfzyVdfYHN9Cd/3sIC1rhQ6qAQqoKpwBKew4tQd5OGcxtkC5wzODpirJ0AZZHBIq2UJJwYfS6hACkmhHUYKCgvCWqQrBwmdPW0iLMcjqdxVftBjffNZ1jau0O0OiKIQ5xyDJGeh43PcFRwcFnhWkc0FE1FKaDiHtaCtRSpL6FmakabbSPCNxEwENrbM84IkKyhyjZSKRsewud0liPr4QRsh1Gkq/OlWC0IKPM8HykpkkYM1BrBoUzreQDAcz9k/STg4mnJwcMje7i6He48IxJxOx9KwsHvnhC+zz/MvfJiltYssbDzLbLzHycldHJrT650SGW1vH0/MyUwTbT1wBuGS0onVXmFh4wm6vRWazTaB7xP4Pr6vUEpWGW0O4coA/6Zrsbhg2d6MOTiecHg8ZTJNMGlB7Cx705zldk4rUHiy7KeUlDluSoK0nOUUVB2TUM21+56iJQKWup1y5t06ZklWO8Nqampqampqamq+a/CU4qknLvDrf+/n+firz+F7ZfGXExanLc5aHu3uczQcsZmv4awFJxBCYcNnaG606TWXyYzHg90/JbUeq8t94uaH8V1MkH+ZwGpeuhhxNNfYwtAOJFN92lhfbnR7AqTPmRtMoEgzi/MFhRX4UiKVz+UnXuWFD/8gSVIwmRe0WyHb5zZZXF7kIy9fZziZ8c/+jy+incND8OjQcjQKWV1yVSSOxpmMJf27pHvv8OjOiNfe0SRpgZAeCMndXcvdwy1+4spHaYQtsjxHGkUY+JwqYVXpJSDod5qc31rh/sNH+L6i3emhlOTkZMTJ8YROu8fu7ojPf/Hr/MmXX+fkZEgjsPzQhwO+79kAT43Ze/e3MLZg+8pLNFsRgd/g8nOfZjL559ydLNFoGBwxShhU4JOYBvNZSid4RCvqcbw35/3bbS5ceIJG1OL8+Qbnzm2ipCCKQrQRWGvR2lLg8JodNrYUwmtw/sI5Lm4v8eSVdd6+vc833ryFzecIFXEUFzx5cYEP9SIiXyJlORrabgnWl2wphs0nqKiD9DycKwsGTpedAkHoSZ7cWiMtCvZORt++k73m204thP0FkVKw0O/w6otP8dOf/RQvPH2FTruJkALj7FkT4FkIlBCcRkKJ8hkJCJxQgMQKBfg4V2CtxrgFnHuSppJEnQM2ncAPJJO5YRhbRrHDGIcQFlmJSsZWo4WyHMXEgbOOMOyztvEcG9tP0usNaDbLsHoBRGFIsxHQavh0Wz5RULaSzOczsiwj15asgCSDoszJR8lSELu4DB6Od6Tjzp7lJM5JjWXXCcK7U1bXRqyuX0Ypr3J5Vd4mZ3FIpJAIKfFUOa0fOI/MGoqiKNsekTgHk3nOaJxwdHzM4cEew8NdOv6UzQXNygAaAUilMfO7vPPGjHPzESubT7K0+QJpMmE2P8Jhq1lxhyAlFDmeN0IbQZ5XOWx+pzouhe8HeJ6HUupsN0VYixMgRXlVFZSjnY1mk/W1JS6PZxydTBlOU5LcYoxhklvujFOEkixHPlFlU5aCx8UG7vHOhTgNfKs+x5OCZhCw2GljjMFax8zlGFOLYTU1NTU1NTU1Nd/ZdFpNfuZzn+EXfv4nuLq1ijGGJCnIpSDwJJPplHsPD7j38JBzm2tsr/aQAvJCY0RZ9BV1txhPE27cvME8zrjcDsvpGOkxb30ER0yQv0k3srx0IeRr78+Zx4bEgjHlBE+Zy6JBQ269svVeghEKoUEiaDSWuHL1Y1x58hWk9Lj38Jj94zEvPX+FRuDT63YIfcmP/muv8vkvv8lwOMVTkkLD67d8Lp0L6QYznDF4GGQQk+kHnB8UPBxI3jtoYoxGytJU8Xtfvs+Hn7/Fj/3gi0zmKZPhlNXFHkHgI0/bxKBcZwrBoN8mz5e5/+AhSuziHNx7cIAKmww6Ab//hbf5v770JvPpjLWB5Edfinjmkl+uTZ3F6hkH7/0ONptx7olXCbptmmuXuHj5Is3bb1EIQyw9BJJQCYYjw3g4Q/Z8wqbD5mNuvvMHHI4sH/vI82XAvVI0Q4VDYqs2yYOTGaNJzKVzy7Q7XZ7sdgk9gZQK6Yd8+qPXefDohOPDA6JmQFw43j9O2OiGhJ6icKXhxOExzSyL/TbH4zk2myFlB6TCnS2VXPn4ImgGPi9ePs9XoRbDvoezk7PKAAAgAElEQVSphbC/AJ6SXLqwzg996iX+xmde4fL5dYLQr0LrP9BIIQRSlA0cAsEH46Cce9wEUoogAlDl+KSTYAWpXsS6y7Q8QbN7wJJxYCxJCr50Zbh6Gb1e2l8p86Wsc6USbiEIOqyuP8PWuafo9QcEgY+1p16xUkCLorBUYKQkLwzDcczO/pCT4RzrDIV2xJlgnpZiWNV9iO/D1rLDOkeSO2ZzR5ZbZvOCB7sT3rqxy9VLI9rtLrISAh+7wk53cqrb7hzOWqw1ZHletmQiK6HKkGcpyWxCNj1hIZqx1tcs9hyNAHyvbJY0TpNOj7jz/jfICs3K2lUGK9fJ7r9GVszL5hRxOl5qUc6grUMbR2EEgoyiSNA6xZgCa235p5o5FZTHe2rqgzLMMwwD2u0WG+tLbO0d82D3mMk8JcslxgmOYosVKfMOLIWWTqBQonSGnQpiZ2JYleh21vgpJL5yNIPSGWasxTpHnOZ1+0lNTU1NTU1NTc13JFIIFhb6/Mov/k3+g3/3p0rnlxM4qXBac/v+AZvrSzTaXc6dC1haXqHZCOm0GzgnKPKcJM9pNkKMMcxnU/wg5IVnr3J+exlPCfJck1uFDV6irWdE4n22+x4HSyF393IMFuEc0jmEs2ijmc01eaFQKkT6CuULQge9/ibPPvdxNrefRAjFfB6z82iPeWopck2jWgviLC++cI3r1y7wx198HWMcnhTsH00Yj8+x1J1jnCOQgike0+MYkxY8v6UYpQF7Yw+wCKGYxRn/3f/4h1y9uEYU+rx7c4dWI6KnyhbF0zgZXBUtIwQrKwO0Mezs7CKF49z5LdbWFvGloBlofM9xbdPn+68HXNosRy3L71KWlVk35+ju53EmZfvaRzFWYlpbtJpvYfIJnmhxQoCwmiCEdjvCb4WAJgo0iBF6fgtnn0V6qorrsVib46zEWMvO7hHv3jnk/NYSgScR0qFUuZZVyuP7XrrOl752k6/MEvJ0ih+0uD+M+YISfGSrSxR4BJ7COMfto4TtQchSv8XRcH4WoA+qjCeqlp62WqP7SvL8pXM45zgajqlDZ773qIWw/58oJXnu+kX+1k9+mo+9/DSrywM8zwNxKmGUiNO/xf+bCOa+eRxOnLYjlsH2DlUGxTtBZlYAScsTNNq7LDoHokD5hjh3zDJHkjmcqXLBqp9jncNTDVbXnmJz+3opgvn+2c8ur5sSLGcVvFob2q0mi4MenXaLIPBJs3Jcs9AwTwRJAS0HfuU8a0SCrRWYZTCaeSSpJdeWySzj9v1DXn/nNstLAxYXPaQUOGexViPMqbAkMMZgtCHPc5IkZTpPKHJDGIYY5yFxtEJoihkb7TG9RkGz4fB9gazqJW2pEaKtJh4dk+m3QPgMest0epvo49sUtgBZvmi4s5FPql0gg9UZaTohjSdk6ZzAD89eZARl3pqUpfAozwYZBUopoigiiiKMLVtnPEnZnCkExsE4dUgFubUsWkfHl/iydH2dttdY3JkjTFR25zJbXxL6HkJEGOcwphy3TWoxrKampqampqam5juQbqfFv/Xzn+WXf+7H8RygFJmpmtWRfOX1W0g/4MLWMq1Wk163hZQSa6vfkaXirffuc257ndXlHpvbm2xsWnxPneU0C2HZPxqxNOjgoo8h7JzAPeLKasjJzHIw1UjhUNLR8ASJ8nEqwFlFXoDRDuEki6tP8szT38/a2iYCy96jHe7c22M8iblwYYsw9Mo2SVv+Dh9I+NT3P8effPnNsqVeSnSRc7K/y3PbAVPKnGCvSpI21rK9EfJRz/C/f1WRFQAGKSS7ByP+4T/+F/zAK5cprMQYWxkfLMLJMzHsbEXgYH11kd29Q5JM88LTW3Q7DdLM8NLzFyhGb9DzCnptSaYtVoESpQgmBAjnMMWco3tfZj6fcum5H6G9dA6veIXDm3+ESuZEgUdCQBg6gtUO2lkKrTHWYqzFs7cYD3dYW7uIdWXLZh7PuLdzxKODMbcenDBYXMRXslpnQWEcNpsSZ+AHPr2Wj5KOAg9nMqzwuXGc4nW26YeOjj5kOJlzkljOLfosdHwksH88RcdTRNQGocq1b3XX2GpYK1SK6+c2eU8IHtXOsO85/pVCmBDivwf+deDAOfdM9bH/HPhl4LD6tF93zv3z6v/+PvB3AQP8qnPud/4KjvvbilKST7z6DH/3b/8wzz11mVariVSKMy/P6bOsUrdORXrcqSBWvekov6ZS78+aH92pKiMQUgIB1klyp8Aomr6k1XlUBr/LnFFsMdrgFBghyI1Am3IEUAmfpaXLbGw/TX+wSBiUItg3H+RjpBT4nkcYBnQ7TbrtJkEYIOZZGVhvHPMUJnNBtyUIArDV7YoiuLzpMU0gSR0HQ43WluPhjNffvsvW+jLPhQG9bqfKS/tA8L+DoijIs5w4ThhPpgwnMdZBx5Y1vb5MWYpGqMEeupVUd9Hj4zeVuKgtaAOFLsiGR9y7+x7qckSzf4F8fsx4flw6zWSpFhpbFhiU3lmHtQXJfMRsekSr3ScIGkgpkZKzPDcqMezxIQicK1/Abt17xDs3HzCbJSglMZXY5oTAOI/EhSgjcWmGsYa2JwhU+f0VpYPv9KeY8reA8uFyZTlC4Pv0WgJt7VkpQpzmjx/Smpqampqampqav1bUa6pvRgBXr2zxD/+rX+Pc+jqRLzHWlJvNtmz8u337HnGaEcdZNUZTjnQoIbCVy8dYy43bO6ggYmWph5IC5Xt4SmKqcRkpJffuP+Jo1Oe5J7aYtn+EzuQ3GbRPeGLdMMsdaWHohIJ25GFiiITAuHKn2mmP85df5tnnP4k2giS3RJHP4tIizXabp6yg22niex7aGPK8QGtJ4Ak+8erT/MaFdW7e3iknPyR8/VbMC5cHqFZKbhOkMywuhcilCD+QPNf12BtpvnDDrxYG5ZzIl79xB5zjZz/7Kr1OhJRQaI2tImZOxySdLdeT7713kzfeeBuvMWBpocMTzQ0kFjd+m3P9EVprZomPO2u1r4wFPDZnzOOY22+8Bu0rPPXcizSbr1BMdrh/902cjbFhu/p8g0BjtSaZZKSFwKghX//aH/DJT62ivIDcGoSKWFxaINGCF7o9Lp5bpREojCvXclY7tBXcv3uHf/JbX+SPvvgOeZbjNQfobIYKA/J4zkGqcJ1V3r3/gJ4oeHKtw2qvgadg0GnhHDw8HKOcQ0WdqqyNs4mpU2NKMwh4YnsD4xz7w/G36+lQ823gz+MI+0fAPwD+8Z/5+H/tnPsvP/gBIcR14GeBp4EN4HeFENecc98VbkMBNKKAH/z4s/zKL/wEl89v4gcBCFW1Qn5wyPH0rQ/Mz1Vi19k45JlIVl7cRNXsKNwHvuZMHlNYPAoCYucRCkkY7bDgwLkCYWHuwzy1uMxWbYSKdn+Lta1n6A9WaFTB+OVQo6hkO8GZBF+hlCQMPBqNkCgK8Ty/rOg1Em0taSYYTqHbKt1YCKrdA0EjdDx1TpGm5djl8diSpjl37h/w+dfeJgwDrl87T6vVRLiq8cQ4rClHIZN4znA45ng4ZJqkBEFIM/TxZIJMdgjmr9MLRsQCMl2KXlT3qXUOYyhHHDUU2qGd5vjogHbnAZsbV2gvXKLIZsyKFGMef82pyFSOJ1qydM7oZJdGs0sQNsuQfAlSeJWTTJb5a6edB86RZhlf+frb/Pbvf5U79w7I85woikqXnZM4oVB+A6/RQwQ+WT5knM3LPDcMnpRlVpgAc9qaaU+bRr/5wi2lpNWIKIzBGIc2lizXf9mnfE1NTU1NTU1NzV8O/4h6TQWU2cSf+Ohz/Ce/9nNcu3SujGAxBcaUubnDkxG37u9yf+eErY0V1pe74Bxal0HFEkNRGGZxxjfeeA8hFK0oOCv3klRh9AYKbZlOZzzcPWLbCzHWYcN1ZoOfZiH+p5xf3uFwarlz6FC4MsvLVMYFK2g1u1z+v9l7sxjJsvvM73eWu8aeS2VWZlbW1tVV3eyVTZHiJomUbA8wnrGNefE8zDzYwPjBhmHAgF/nYTCAX+xXwzIMwy+2RwZkeyxLHg1JSWxSbDW72Vv1VlvXkllVuWesN+5yzvHDuZGVTUkjiZRJsRUfkMjMyIgb98aNJf/f+ZanvsZTT/8SOoi4/ck2j/f7vPLCZaIoohvHaOWXsK3zbpHJdMz+4YDzG2dYXF7mH/2H/zb/9L/+n6kqhwokuwP4/Y8XuHa5y9nmTYwZEura5aKhtIavPi94fJBz9yDC2QqhAipTceveHmVR0kxjrHUU1jHOMtI0JggCJILxZMLb73zAW+98hJUJkSvY3t6jFWQ8+ui77Dy4jnAWYR3OWEweYpSo43VmY6ijyA07RwWDzPDej77PU1efI04abDz36xSDhxweHyLchIEMwRkwhtBVqFZIQ0nAcbz/CTc+fpPVjefZPxpx8dwyjVaba602oRYEgaKovK2nqgyj8ZQin/Lt127wrVevMxqOCLSilZQUKGRVEiUNFpfPUlYl+8cDOl2Nk4EvGJA+ZihNLb1OxcHRCOsEMm6ezOquzgubZXnHQcDls+uMsoLxNPt5vSzm+BnjLyTCnHPfFUJc+Etu798D/jfnXA58IoS4BXwR+MFPvId/QxAGijPdFr/84lP8xldfZHWxA0JSGUC6OscJPq2wqhVD8ITYmi1m1DT0k9uIk0oLV+uB/KLHSc0FTngyrGIVFAQGlN6mlbq6gdBSlZBLqIQgSnqsrF6l21shSRJOqghrEozZT+L0JV4VJqVEKYXWASrQSKURxmIcTEsYZzAcO9LIy3IDJZHCh/R3U7i2KckLS1nC8dBwPJhw/eMtgiAgigKuPXWOIAgBizElRWWYjCcMjvscHB0ymIxwONJYIapjqvFDzNEtXHbsWzhtbSs99SbmV4W8aq2oHEUFlbGUbsre3mPa7WVa6QrNzhrlwV1ya3DO049SCpTz9chGgLOG0eiQw4NtoihFa40Uvp3khNcUAleHUo7HGW+99xG/8/uvc+uTR2RZDji0KkmbDZKog9AxUdIiaXRQQuAyhckcmZkSCIcUM01h/SE0U4Ph8CJBV1snqQsRJFEQ0kxjpkVFWZkTf/8cc8wxxxxzzDHHHH9z8Ld9plJScGG5R5qEfOmrX+K/+i/+Id1OA2P87DMcjegPxqyvLtDq9bgSxqytrdFuNWg2YoxxlEXFNDM0GjFFUbC/t4dSAS8+e4ELG4so6R0mFWC1IM9z9g4H3Li1RbvV4OxyF63AWoMTHSbp10ntd3l27SHDiaU/qrDWYpx3f3Q7Z7l69eusb34OhCabZmw/fEx/YsiLiigKEM6h6pnP1PaM/mDM+x8/YLHXod1OeOWFq1y5vMlHN+4TaJ9LfPvBDq3lKyjhWEw/Ap0jVC2OMAXaGH75qmL0nma3L8BUSKXYOxryW7/3Iy5urnH+3DLWwfajQ86uLtBpKw6PB/zwjXf58OYDzq6vs7LUxRpDU/W59/YfMTq8V1tQJEI7RGkYTnJwmlZToZW3RY4mFYf9gmluKXLL44f3uH37Bs888zmC9grL538Jm3+LwhYYBxkQCEsQK/aHFjPMabRDosCy8+AtijLk/XtTVpY6tJspUjqEcIiavLTWUpYV/+qP3ubGx7f49h++QVlZLAIVpmysnefxwRGtdo/FlQusb1zk8OiQtbObHA33eLw15GhqeXYlJQkEg9xRWkG3ndIfZdgpEDagtsvaWmxgnasViCVKiT/n2TvHZxE/TUbYfyaE+MfAG8B/6Zw7AtaB105dZ6u+7E9BCPFPgH/yU9z/zwRSCLrNhGc2z/DshbOcW11iOpzwyd1HnDuvSRopSmuUfEKSfJoQe0KAnfJI/inyaXaV2W1cbbXzV3Qn9JUTGkMDWMUpi5QWxzZSZYQBJJEjL8GR0F2+wsLyedJGqw7hdydB76fviz9rL4TwlkGhETJEKo1UBhyUxjKZCkYTQa9pSAO/TSW9nc8JWG4LrqwrBmOYZI5JXrG3P+TdDx/QbqV02w1WzywAPpg/y3L6/SH9/oBxNsGaklA7YjfFHO9SDbdx+YiscuTGy6Wd9W2YPnPf1eouR1lCUfnHwVgHtqLf73N8tE+atEkXLlFOj3GjgxM74SyHSwmBEg4rBKYqOD58TBgk6MAr46RUngBzAin9uZ5MJvzw7Q/41h+9xY07DxlPcpy1KOV9+xLLYq9L0loiSBcI45ZXwA00pXRU+RE5GcoZgrpYQVKvZtVkmHX+mL3Cuz5+59BSkkYRnYb/QM7yfG6RnGOOOeaYY4455vjFwU88U/2izFMAX3vuEl99eoPOYo8v/MbXUMJRlNYLAARMpiV//OYNvvHVF1hebNNqNel1W0gpMVb4BffK8MN3bvH8s5fotRtcunSBzU1DECiEVH5BWBh2945YWugQhjHtluXKlQskUUiv20RrfRLHQriOSb9Jal/n6bMf8ie3MoZTQCja3YtcfvprrK1dwJmK3cMD7t1/zP7hkM3NdcJAYo3BCEElHNYUTLKCo8GIW7fuoqTEGIMAlpZ6/N1/65cYDCt/veE+k3Gfg8M+Uq4RqIy1xu1ZQjShdLg0YLUX8PLGlO9PE0a58/E5SN68fpff+p0f8J//x3+H8XjCjTvbJGlMmoR899U3+NE7H3Phwjl+9cvPsdhrsXXzTbY+/AHVaAdbZ/Scnt3y0iCcIQlDVCQ5HlUMhqUv86qVXZgpN66/yca5CyRRQHT2eTrDLcY717GiwhrvnlFCMJxUmHFJ2AzRCqp8hwd3f0ion0GrJzOUtZaiKsgygxWKN9++we/9/vfYevAI4SxYgxCSbrfH5sWrXLzaotnuEsUNChdQmi6Ts9cIXMEzccHjYcYbW47nViIeHmUcT0peWGvgcBz1JzhjkXET60RNgvlZ8Xg0JjeWlcVFnIPhZPJzfKXM8bPCT0qE/XfAP8PzB/8M+G+A/+ivsgHn3G8CvwkghPgbObpHoWbzTJcvX93gwsoCcRSRlyUHhwPKTx5SCcX6xlmazQZh4B9K780+1YIIzILBTpNPp+mnE7viKUWYOy0dq4kRb6WspbeigZOroC2lcJT2MWU1wVqB1hFLi5dZWLlCo1WH+M/u9WSXZgTdk+DAH9+PqvJ1tFKHqCBCWweuBGFq/7ulKi3KCbTziwuiDs1KAsHaouJwVbB77JjknqjZ2evz5rt3OXd2kWYakcQJVVmSZRmTLKMyJVIYEl0QugFisEeZHVIVU/I6o8w5r4pys686+N9YR1krwbwazNXZAIZsknF0tM9Cb5Wg2SLunKOcjnBFRiGelAso6VesbH1BWUw4ONgiCGLCIEGpACEkWgusk+T5lD954z2+8723uX338YkSDOGJtVA5NDnSTmimIXGridAx1lgkZ5AqxExiyuk+pR0jXOlJMAnSCiQWM7NEuicrF7McOSUgVJp2mlBVlj1jyMu5RXKOOeaYY4455pjjFwA/1Uz1izBPLTYTvvzseX71mQtEWoA1XP/h+xwPp1x75gKNRgMH3L/3gNF4ytFgwmKv5ReG6+Z06wwOQVmW3LyzTW+hR6eZorUkjiRSSkrrZy8dhLx1/Q4Xzq/zzFPrNFttOt02SuJpJgdaw83bD+l0W6wub1C0u3TdEhdG3+f2rmFt7SU2L38F60KywhBFAZ12i/ObkvPnN+h2WkRhQGUMk2lOFGq0hLyYsv1oH2TAM1dW6XYScAZjDBc2Nnnh+ZLj0ZgP3vlD8nzC/v4WjUaTB26VxdYejXBAIh1hGLB/oBgNSq6tZOyPFG9vJ9iqQkhBVVn+5XfeZrmXkEQheeXLAbRSbG6u8eHHn7DUa5LGIbfe/TYPb/2AIhsQOUuqvBXROh9jUxg/tzgpyLKSLIODUQUO4lAxySry3CADyeOHn3Dnzh3OnbtAHLeJzn2VfPCYcLxPIgWl8dNZpx1QJgqnBNo5hLDoaofnL32ebivGOACBsQJrHPu7j/n9777Nt7//IUeDgvOXn+Pmx9dxStPrNBA4PrnzERubT9HpdpDSE4ZxnNBdWvdZy7pEc4+P791hcGxAaNa6CVEYsagEtrLs98dY49Bx0z+vrGX3uM+0siRJSjcNOLfc5vUP7zKajH+Or5o5fhb4iYgw59zO7GchxP8A/E796zZw7tRVN+rLfuEQhZqrG0v8yrPn2VzqIqVgWpYUpaVwgmr/GKtDjNBsbkiazZRQ+05BKWVtbROfygH709qrWXPjTPHl1VSc/hibcVe1BU8w47AUBG0fVJ8qcB0wB4RKEIcLNHqbxM0Voig+tbkTWdqn98W5J4QS7kRxVFYOJxRRFBNGib+qEYSyIokg1hXaWTQCBejaOgg+M6wZwcYSPFwOGGWCcWYpSsvDnT5vvneX9dUF1leXKCpHWVYIKgJZIOQIVe4g8z3K6YiyrCgrb8t09d6fRP27J4+jMY7KOso6J8wYfCi+EBSUDAd9RqMBWqc41UMlCwTlY5w1J4+rEwKnvHLOhzZayumQ/b0HRFEDpKLZEoRhjDGG7732Fq++9h73t/Z9kGeNQAnajYBeO6TdUEh3yOR4GyE1UWMZKSPCuAUqJg9SjEooygNk1UdXGRKLEp7oKp9QlSfnTgpvYdUIAimItEIgKI3hcDCirD4TERJzzDHHHHPMMcccn1l8lmcqASx1GvyDr3yOFzdXENZROUdRFEwfPuSNgwGH/SELvSb7B8fsHQzoLS6z3G3grPHR68KilKHIK7Jpzo/e/pA4CgmUBCw4WYeeW6hjRPrHA3Z3D2i2O1TGEtZCAlW7Xazzs87Ww12294YsLbSRQRe3+HUuhGu0Nwe0l58njhq8/+EdjocZn3/hKcI4ZTVN0VKAkBjr0EJy1B+zs9dnY32JdqfLyy92cNYQBgFSaXZ3+3zn1fd5+6NjxpVEJwukzUWGh1sMDrbYeOUK3/hcyv6OJZAKaxVOe5Iqy8ZEbclXnpfsjCq2jzTOGqTSTLKc//5ffJ+rV57l7/76yyz1WgjhuHplk6osGQ/2ufXGb7O7/R5lVWIrv7AeOUNoBZmBbGowlSMJBFoJLAJbGcZDQ2UsVeoYjUq0lt5tc3zAm2/8kHs7OV9+5Spp6yzh2hc5+PBfk6iKSijGlSMJBVHoScfCCq/8swU79/6Ei5c/R5w0qYwhywqMM7z5wUN+9w/eYTiaECU9trbuYUVAq51gjKEsS3Z3H3HcP8aYgsXVC8igiZIJadqgrFaYCkf7qQ1+qd2m2L/Fw0HJWjdFK093rCx1yCvD0WhCicDqiEdHA0rrWO11ONNJcNaTf7/2whVeffcG/bky7DONn4gIE0Kcdc49qn/9D4Dr9c//EvhfhBD/LT7Y8Qrw+k+9lz9jCOHfuF95ao0LSx3iwIfEKxzCVBjjGI/B7h8hw4ggjFlXASIVBEIhnPMthCck1umN+28z9ZW3KYqajPKUmDvROsEsVGyWZ386n0pIhYg7CBViVRvCEbFzyCBFJz2ipFGLk9ypOz8xWc62PtuhWhXlSaWZbzoKY3qdLsYKplmEcgVNnbGcjjnTqFhuWhqBI6h93gjfImmdQzpHN3FcWhEcjWN2jrxaywnJ9t6I6x8/Ips6ojjElAU2P0abHYLiITY7oipyKmO9DRBOHis7s43WxyZOcsI4sUta47+ccb6tEUM2mTAa9gnDLpBQsohTQ5Qd4TVmgPKPjhaO0taZY9YwzY7Y378PtcwZGfH29Vt8/7X3ebhzxDQvmanpAiVY6MScXW6y0FY0YgfSkZkjimmDQiXoWIPUqDAmFIpCRRRZC1nuIvJ9VDFCiMKvhAFa+nNuZopBnwGKQGCFQCAJA411jspajodjjLF/ra+LOeaYY4455phjjjn++vBZnqlWei3+8Tc+z+XlDgBWOKQQlJXhzs6AtSXLjet3ePblq6ytrXJuc4Pz68u02w2MdeR5TllKokgznYy5ffchxkqeefo8F9cXEHhSTQpBoGE6mbK7f8y7H9yh0+2wfqZDoATOGYyRKCGoqopJVvB494BHu4ecP7954iwBRbJwjdWuoLKOSTbl0c4u/Qlk0/KU+2eW5+znuNE44633PqHbbdFpJWglCSKNQFJZmOSC29uO41yho5g4bbCycY3R0TZxaPnaLz/Fi89fZOedB9zfvsFUhFjjWO4I5IUFZCCJAs03Xiz4P1+zjDKBsxYhJVGYcOHKS0idEGhNoBU2tKz2JNuP3mUwuIezFltBXjgy48ilP97C+kLKKJR1PEw9JSpFkmgePJowmlqisFbbKXC24vH9j3FqAfPSU0gV0Vl/DtO/z872B8TakUnpp6q60MyWhmLqmJaOw6MHtN9+lRe+8OuUxvLqGx9x5/Z9fu9br1HkU6RUHB48BpnQabVQUZsogNAdM5gGjIaH7D3+mKLM0Y1VOt1lUClBGCIF6KhB0v4KtyYVo8ObvPN4wuc3WiRBQFVBs5mSG8vxeMRxOaFymjiKOdtNCbWCWlSgVMDzT13ivVu36U/m4fmfVfyFRJgQ4n8Ffg1YEkJsAf8U+DUhxEv418td4D8BcM69L4T4LeADoAL+01/EdhOlFEvdFoutBnGg0BKc80x5qAR5ZSinOWP6yDAkbjSJ06T2UAtEIDwZxhP91YwQ8/xXTYKdaMFmNj+Hs/ZEmQV18cUMNQt2uuRRCoEMU4QK0FEbYywyiOsg+pMb1t9PdGdPyLfTJFK9awJvD2w1IhZ7KQ5HKw2pypxUG3pxRi86oqOPScQY6Uqwtg5z9+0lxjqkccTSca4nGJ9rIIKQQeZQQQxBi5vbU/YHD0mCkkRNWE4PWQj2iVyGsgaLLwGwtc3UnSKBZmUDfOrIHPKJz7POD/MXWGspipLxaEQYT0GlFEUXZZfrooEJgTBIfOB/ZQRCOEoncMJR2ZLxYA8lA7Is5/6jEW9dv8fu/jFFUWKMxVpPgi12Is6dbXB2MWChaYkiQyUEwzxjUBxSmDamChAapAzRQQCyTaViqiJFSVIyvbYAACAASURBVI2zW4iqRElBqCSVc+gTlRrg5IlV1tXKQ+kU3VZKXlX+WLPcWzznmGOOOeaYY4455vi54m/bTBWFmiBQwKwWzC+UD7Kc3cGETjNhOcm48/EDWr/U5Mq5MzRbDd+yrqAoJ9x78IirVzZotDu88FwLayxRpEEoT+YUJYeDEYu9FkEYEscRFy9u0mqmrK0uIqWgLCum0wIXB5iq5PDwiIeP9rhwfp1rl1cJFFRlgXUgnMLYioOjIfcf7LCzP+LShQ2iUHqVmgWDwNmKcVYwGk+4c/seSvn7EbUjSLhaIOAca6sNLl7oMjLKt0Y6w/rqCuVgk7/zzVe4fHEDFaYsXP4mh3tb2DwjtxHCQbcZgRIUleXSOrxyyfLajYA4illYPMMXf/kbxK1lth5v8Xi/wcZqk/7ubY5ufQs7uk/hwFgfBGbxZFRVZ7BICUKCxs8vfugUWOtoNjRLCzH7RzllUaEDT+5V1gJDWlFBIw4ItALZob35RbLBI/LsEKskR0YhhBeRSC3QoaMTQeE0W7dfZ+nMOqOyyb/61mvcuHmPSZZhjMGYAq0jWmmMVo6lZs61TUejKdgdLLLYCFg5U3Fz+wF39yqywtFo9ogSb3VUWiHCiPNPPc+lqM/Nh7u8/XDE86sNAim4fzBlpR0TRTFtqxkUUFUVunYVO+eYFIastCw0AtaWuoy2coydiws+i/jLtEb+wz/j4v/x33D9fw78859mp37ecM6RG5g6L32VWLTAW9AC5VVKpSGfThkcHBIkKY1mkzgKkVIipG989G+CTyySJwTYCSt2co+eEnMO6yzGGJz1TZROCpTyih+w/h2rvvnJtgGtQ6QM0DiEkE+Iok+Fkc0IpPoXnuzCzBpJ7dkOQ02nFXFutcVCK6Sq2mjpCBUkekoijgnKR8h8B1cMMWWBqSymcmhnUdahsEjpcJHk0kqASFY4yptUIoYgJXeOx8cZESPWGwco3UfJKUo5nBQIKXH1G4/FeSXYj+8zT+g9KUBLRyCgOGldrK9tHdYYhsMxOs5wOiTLQ2S5RIwiFodEeoRWBcLaOqgenPJ2SWvAVjnD/i6Pdw+5tz0mG08IZEkaOSrlz2KnodlYiTi3LDjbK2mkFWjInUAFQNZnUOxQVgFOKATSk2Fag9A4HWKkRVRjVJEhbYGa2WKFwDhHZWc0qn8S2JoctHgSt91ImRYlRVVRFBVzKmyOOeaYY4455pjj54u/bTPV9n6fP/7gLstfuEqiJZO8YG+Q8WC/T6AkzVCTSosZHfLBu7doNyLarRZSeDfMeDzh3Q/v0ul2OL++iJKKKNBIJakMCCnQQcCP3rnB5198mpXlHp1uh2arRRhqdBDiHCgFH93aZmNtmXYrYWVlmW6vRxho4ijAOYF1FcPBEJcmaC0Jw4ClpQWWlpdYXmgThcHJorqzPhR+mk24e+8hZeV46uJZeu0EZy2FMVjjc36P+kN2944J3T7nlxP2jgXSZfzGN6+R/P2LXLl4ljBKKMuKrf2CfnWWtv4EZyoyG9b6BYdiiihzrj39y4RLS2xeuMLq2gWGBdy8fY/hoOL/+M5d/t5LBYf3vkUxeOwLzE5yq0HWdk6ERAmgjmAJJQSBwkrp7846igI67RAD7Oxk/riynKJyJC1F/+A+si5zM9YhO+forL/E6N4fkmCZOkVpBamGkVUMj6ekkSDtRFTZmI/e/n3++KOAO5/sEChBGGiGhSEKE6qqZNDf5+rFHv/OFxSrayH9ccDqwg7LZxKSRkBv0TB4fUx/MqCZxoRBm8oprKnIJgUq7pAuX6Z7eMj7+zlnGxJTVQxzWFEx3WZMw0KnsuRFQTYeYWRA5QTHuUUJwXRaMjU/NkvP8ZnCT9Ma+ZmFMZbH+8fc3B+z3muzqAVKWAIhMEpiQoV1QGWYTsYc7+yy327TaKQEgUZKH+44U+xI6QkZIUGeeCMB4U4aCK2xJzY/4Zy33+FwSiFQCGURon5Lm2WFzbY1K6KUAuE+bXo8rQWb/XTaDvmp3znhwQi0pJlGRKHG9FKs9UopIQBbolwHWTZhEuLGD3D5wNcVFxVKCiS+SljicAIWQoHsLHJs1hmUIVkJeV6QTyOMDZgiKK2hMAAlUGGosAgMp4Px4RSb98T0KfCe/bqSuDJgZB0ZUK/KWOMYZwViOMHpmMIorEmIpSQRAVEZkQRDtMoQskI5h8YTTBqwzlLmY/KJQVHSa1gaIRjjz2GgJUudkI0lWFkoaSQOoaFSCmcFiXKgc+x4n2EeUhpPhiGkX8VQCitCiHvYrA36EFcW/tiEV35ZR/3BMzsZnlA11lEa6wMglaLdaDAtKg77A6q5RXKOOeaYY4455phjjp8hKmP53gd3ubba4ZVL64SBphEFnF1o04wjFlsRDohtSX/3Ma+9JmgkIQtLi+RFwfsf3MIY75aZ+VmoF7pd7Ro5OjggnwwAgUUxHg1BWMKgSWXq20nJx7e3OBoVfPnzV9A6oBWFteNCYK1Fac0nd3dQYcjz1zZptdt0Oh3vChICawVSwf7BMZUVrCx3aHc7vPBcA2MMaZqglKKqLFk2YeogDjVJmpI0Sq5cWuOlRpvrNwesLC7z7JUFokATaMHR8TG3bj/g4eMjeu1nWWymNPff41GhGRsJtqSpK4I0Qi1usPn816iMI88zjg4nhFFEmLS4+eiI6/YDzibHlFbR0o7MQoHACrDGgBO4WeSOnIkIINSS3Pm5VUgH0uIEdLsRprAcHOdYBzrytscHW5/wyZ1PePqZZ5hMC3b2+ywuvMDWjQN66h6LQcZxqdDCEkrBeOpACgLrSFOJFYfEtqTIcowIGI6mtJttlFLkuWF1scc/+HrIc1dTpqVDCwPLTcJQgRD02vDVFye8+oEhy0sYT3BOIoQgCEMq58ijDR6WH7AWj7j7OGNiA55da9NIIpzwzZVagYhCCgFVWTLMHc4p+uMR08qidMrF9Q1uP7jP3GTz2cOcCPtz0B+OeevDO3TaDb66uUjD5GhREUqB1doTYYAoDXn/iL2tbdIkIYk0gZYoJZHCkzg+z6tWddUklq+NlSfEjqubK3zIvsWZCmOMtxvWjSlCPJHZnngm/0yW2p18YJwWgJ1WU/1ZMqFPi8cESimkUhD5v7hZW6GLEDZGRDEiCEAL7PAeWg6pJORF9cRqiaCqIJCWVpgThYLULXCcB4ymFWqSYYspE7o8zFNyu0uqxgRyghJTnM2xGCx1U+TplksAIXAzkZwQBAISnjRfZlgq48k45ySVkQwnJSK0GAIcEaULKGSANpqoVDQCiIMJTphaMoy3SVrrQzeVodOwNCKHs6espIliqQMLbUsSC2SgQCtKqZBOIA3IAEQwxfV3GUw1pqopQ6XqZhywQmFlSCUCT3zhq4itBQP1c88fn8UTYEXlv3JjMYDSkm67SVlVDEZjvwI0xxxzzDHHHHPMMcccPyOUxvI7b91magRfubLOYrvBQjtFCXkSC1NWFjGdMHiwxR+8Kjl/bpGDowF5Jbh84SxrZ9oYU/n/7a0ELZiOJxwfHbG9tcWvfP2LLC0vg3OEcczb793g7FKLpZUzWAfb2zv0jwcsLC7hrM/tdRZQzhNDFoqyZG9vj4KIq5fXSZXyuVlKeGthPVsNBmOu39jmN37lZdIkJAgCGml8olJTSlIZx1vv3eaVl56mkcZsbMScFz5i5+L5ZQDyPOfR3iELvQ6tTocXXmxx7VpBkkQE5RXGN0eonbs8mMYYC8up5v4oYvv9/5ew+T7RwrME3WsstRpYNMb57LXf3XoW+g2WO4IvrT+kp+9STEuyzJDnFq0VWnnxgKwFCziQxqKkonJgKsc0N2gpUFqyudEkCCX7RzkoP99YV/H6D/6Q9XOXuHlrl3feu02302PU3ySmw6XOFnG4S16Blpb1cx2EMCgMBom1jqfPCW5tCa5/ktHttEnigFArdHeRxZZBEpAyIpcJcScGKZ9kbDvH2cWSLz0z4c17If1Bn1gLzqxuoIMA4RzTqeWZSxcYP855fydjCkwqaFtwgjpXGSoLKohoBiE6qLj96IBhYYmjBCUVgQ65sHKGe7v72LlF8jOFORH258A5x97+Md9/80M66Uu8vNohKia4ssJKsErhtL+eNI58f5fHUUiahKSR90yrmthwQvo2QuFXL6SQNTHmL/O2R3BWeDmwszjtW0Gcs/67FDMBl09Jn4Xoz3a4VoX9GE108uNpAunJ9WeZYzNW7wkV5pyXzopT2zyxdAqBkIH3DXIGQYl0JY4HaDfCWYepfOskdQClqDK07oM4phl0MbqNUxKlG1RFAVWLkU3IyxZhfkAqj2nqYyIpkG4Krvq0Kuz0oQhxQgwKJQmEJa4rgaWArLBU1i99ODSVC8EqrFAgNFYoHBESxbSC3Bg6WOJg6ut+lV+BMs6hpSMK6maawO+QloI0Viy0NYtdRRwppJagJE5rQiEIHYRWEESgCoeTGe7oMYOpoqoChNAg68QvO6UwFXlpcUaihEXVmWe2Ppf1SaKylsI6itKQV5bCWFwdIhdqTafVoqqqeV7YHHPMMcccc8wxxxw/czzYH/Cdd2/TaTV4ZqVXL+xLjLM4B6Wp+GSnz/pSm+HDHfYaKS8+f5Vuu0Gv2yQMI4y1TMYTxtbSa6c+fywMufa5F2i22/6OhKDZavD05fO8/sZ79PaOsA4e7RyxcmaJqxfOoCQYU3mFF5LKVBwdj7l7/xHDcc6588s+YN9arAMrvGIsLyqyLOPefV/cmRclaRIghA+aF7NsYmA0HHHvwS7nN8+SxiFSSZQUKKmQ0tbxN5J337/H5565wMbaEmGoPQkmBVW4Qnz+11kqf5vp0ZA9I7CVAOvITR833KfZHBFwhrTVxUnli8qsdzUVAsp2k53e15DFq1SDVwGIInXSOi+kqCN5BLkVft6kPGl4lIEilH6hX0hYW0kpKsdgWOD8cMjOg7u8/sN73Hs4oShSjo4KBIIxPT7oN9loRsTBFgpDrH2ZmrOWsjCMC+9i+dw5QWm7NKIp7bRgZSklCi1LHei1YUSESENSKyiNwxhPYFG7j84t7jGYRLz5kcImLRwOU1UoJWjJETf37nJ7Z8JC5N1ON/YzEILFRoADstJwNK1YTDR5WXB/t8/R1NJtpLTjEOufVsS9BaalYefwcD5PfYYwJ8L+DXDO8fDxHt95/TrNX32Z5xYbBJMRtqwwUmC1xDmFwCBMxeTxI7a0IgkUUejfSLUUWAmiznVyUn6K/JKizhPD1VJViUD7363xFknnwDqcsJ4QOzFF1ulYszJIOF0M+aRNcUZl/fjrdhboWL/JI1xNMs0yzQBRy4pnjSpu1mspkFJB0AC3AskUYQqEKZGVQUv5JHjQOHAlohqibJ9IDmjpDka0QGiM1jgb4CpFNQ3I84RR2WBqA9pKEEuLqk2SpzPOnOOEvJMzIow6WL++lpL+b3npqITAyQCk9m/GQiKExgmNESFGKpywFGVFZS291JKEBVpab610dRulhEi72i7qSbDFTkivExDFCq0lUgm/cqElTgpCBJGD2AnCArS2wAR7+Jh+FmJFiNT+nNtyRJYNGGdTXOnQArRwCGe9xdY/ObHWE2FlbYus6sB+W+eJSSVIkwhj2xh7TJYXc1nvHHPMMcccc8wxxxw/U9zb7/MvXn2Hf/S157m8ugDO4ABrHQeDCf3JlKUyZU0WHNx9wI0k5gsvX0bpwM8cSlMUJe99eI8vvHyFxU6DlbNNftzwIIGVMz1eeuEqb12/xdpKj5dfXKbVTFlc6CKFpKw8qdZIY6QEaw1pEvP8c09zbm2RMFCUlSGvKoxRSOHo9wfcufeYaem4dH6VdiNCOIupLGVdXdUfTNg76PPRjXt0Ok3iyM9z1hpvr8RiK4dxjq2tbY6O+wwn+akZi5MYFN25hDv7VTqD/4epkvQzTSwc62ebWOtQ8phq+CZheoZ23KZoSYTSxFFEO91g/3hAvPQUsnGZo+MhOn8LISyBBKG9PbKynAgXpggfmC+84isREAiHlAInfCzLymKMqRy7OxlKQbra5uCgwjqJUIEviRSK0kkqk5CPnmY5hHawjQ4cDovFoZQk1AKFYX1REoWWVjNiZTkkDAX5tGJzNWVxNYEwqNVuDln42Btjxcl517Lk2to2+/tNHuyXlPkUrQNMabj58Qfc2B6gjEGoKUmYUFnBnYMM4SqUlAxyQ25gvyo4Gk0YFA4hNY1AnsySzjmmlWO516OoKg4HgyeihDl+oTEnwv4COAd3H+zw7dc/oPMrL3K51cSNRhhb4Vztm0NAZSiLgv7WNve0JAoE+uwyqrZAChTU5Jena6y3wsFJiKEPRNcnJJm1tv6QsFhrPHtv3Z9NfPm9rS9yp6yJ7uTvp7PDZjedfZdC1ASKwzlR80v2yQ3FbMuzTfjtCqVwQRNXnYFoDMUQkU/xBTecHLUnbwqkGSEZ4fSUtmohVEReaLABzgaYIKQIEoppSn8KiinSTQlFgRSnynLcE7JLzsLka4rQSW8NDNwsRsshhaVwUCpZZ46JOl1AemWcUCBjXNClcpZxWSKnFVo7tCpQ9ak2PsQNIb06q5EELHRDet2QMFboQKG1eKKeU6L+wKGm8gRRKAm1RCuLFGOq3YcM8xhr2xhjmI4OGI2HTKYFWIfEoetWF+nqygDrMM5irKNy7qS1ckYMOucQTvi8sGYDZx37R8dMi/Iv87SfY4455phjjjnmmGOOvzY8PhrwBx/d5+K5ZWTdbr59MGCnP6adRvTSkFA4OtWEh7c+4XYnodNuEUURQgiOj/vce7DDufUleq0EIQXg7XKC2f/egBBsrJ9hPC25eXuLhV6LbqeJVNrn7hJw/eMbrJ1d4vz6EouLiywuLSCFX+R3zqG0ZP+gTxSFtFspnU6ba0/HXLlk6bRTAh1QGUOeTzFWEQWSIPQNmSsry6ytLrG80MJYi6kMVnl11WAw5M7dhzx4eMjCQo+lXhNRq5icFVjjyKcFk2nBo70YNe2SssdExJSloBUFTA1kxuImd8FWRKGhnWi63QWSRoMbd+4TBDFhELI3ytmLfoX28QMaYgcZKpzyc6YSAmN8hAwIrxQTAikgko4oUFC3fvo2RcfCQoIxMM5KXLLB8aQEZ5FSYAgoncCgcFgKE/Fg9BTL4YRzCweo2q2DjXDDCWkiEKkiDA3nz7U4u9YkmxqkK+icaaMCRWVBGL/4H4XCk2DWYbw2AOOg0yz5+gsjvv1WSjbYwYmARw/vsf/4AVLA1Cp28pC9wqKkph3C7f0JkRaEQYA1JeOyxKDQWmOMoSxzYq1x1qvGCgtpoFk/cwZr4WjY/5m+dub4/wdzIuwvAWMsN+485A/bKe0vXuNMo4Flgs29XU/UTJYrDUWRs3/3AVoApmJtfZlmM/10/tZJLpio7XACoWY5YLVlEtB2pvKpiTBTN1I6xxNd2Gli68eprpnlsXZT/qnkfB+8/+T21IH8NZEiwLmZtOyJc/JEe1WLxpxQWNUEvQDhMVb3QZT1Cke9XUDYCskULcYoPUWIEoIGQRBSVgZnQ2wYEYQJUsdktiQrj4gYoHwN5wlh6DO/OPngk7V3nzpIUylvhZQSJBaJQDkHssJSIYXFUDcuer8hUimESiGwlNWESTklLXMCWaBxKByB9CSUUJIk1fS6Ee12SJhodCAJAy9/tsae2FElIFUtQxaCyAlCKYiUJFAO7JA7D+8zHC2Q54bh8JDBYIgx9Qe7g9I6lBAoB8JZ5Kxh1PnVNGOcz1CbPQoOnHVI5dBa0Wm3ANg7PCIvq7/6i2COOeaYY4455phjjjl+QjgH797Z5re/F/DvvnKNJAo5d6bHcrdNFCiSUGEcaGcIh0e89fr7RKHizMoi2WTKBx/eQmlFqxFjjUG6CifDWkDwxCki6jDmpy6cZTjM+OjmNu1Wg5YKfAO7MezuHnI0LNhYXURoUML/D19ZP7VoBbu7R2ztDfnm154nUJp2M6jD2iXG+FKwwahg6+EeLzxzgShKuXQx9ZnFWtXODUdZGvaPhix027Q6ba5dSzh/YZNmIyGOQipjyYscU1WkSYSUgsODY/b6hoXFL7NY/ojy8DFjEyIN5JUln2YE0SLNzgpB0qajY/rjktv3t8iLim63S38w5OjoiFx2OW78KtHkd1Eyr+2ePo7HGqiM87MLEi29m0kKhw4lVqoTPUQcemdOstng4U5Fo7sJziKkwqAprKREInBoLMNpxWQ8ogzbLDX2SUMvoOjvVoyPpygZ0YglyxsRz1xZREioXEWpGzjp5ylKSzUpaCUhFQJj/f6WxtWFaF62EYcV33jpiN/83z9ha6eg0Uy4eH6ZQDre/fA+kyqkFUBQDNjPmkyNpq0kQVUwKQriMCHSmgYOawxVPuHo+BCDxsiAKAiQAoIg4ML6KvqRYL/f58eCh+b4BcOcCPtLYpoXvPPRPc50W3zzc+dJkhjnpoii8uGMEqzCM+B5wc7dB2AqbJGzcWGNZrPhiZtanVTi31S08m+8ARpRS1KFEEgpkVIhpQ/Ut8b4zC6jkLJWfAkf8nh6BeTE+1ZzZKczxPxFnybPnsi93IlV0l+9VobVL/En2xEn2zrZghA4GWJlE2QbVAMnxp4crG8TBJK0KUl7EKRTMgYMXAdrmiBjpAqoKoOTBikUODBlr7b17WKRqJpVcrXa6kRJd8r36bPY/JcUT2yEUkq0rXAuw7opJTmIBIPzZJizYAVKSZARVjUpy2OyXJJoUVsvnSfEtCSKAzrtiLQVEMaaIFRo5XV/1lhM6eW/oibAhFNoiT+fwttGIwWxlmhnGY+PGfanDI8qDvtjyqLwz4H6bAjqEH08EYa1XpRnvWXT1QSqEGKm4/MfDsYi8bXIvU4LKQU7B0fkc2XYHHPMMcccc8wxxxw/Q+SV5V+/c4czCx2+/vQmDSVJowCoi7pwFJVhNMpQFbz2g/d54aXLFEVF0mjz/HNnObPoHRRVWSKoUFGKkPV/zG42CjmkVrz8/CW+99qYt9/9mKtXzoNQbG09YjTJuLC85Ecna+uFccAKqsqQZVMe7eyQ5Yp8WhA2Y5QSPgvsJLfXUU4z3v/oPhvrZ1hZ6gAQaK/+spaaPNF8708+4Ctfep4zSx2iWNFopGglMRYUgiSJ+fDGXc4sL9DrNLh4aZNLlzZREux+F67/X4yLEbtlQKwsiIp2o81Se8ykKri97dg7GmJERKsR0+s2scYw0oLBMCdXGzSiz9Gq3ibWjqyOVZkWFil8yZuSAq0kSvj8LWHxqjvhVVjWOsJAogPB2qrgOPsYm74MqsXU+KB9iW94NMYxzjKyyYRyYrgfBlxetcTKkTYk02mEVRHWWWLpkGaECJtYESKEREswleXRQ8tod8zmZkFruUXlBJX1Vklbz0F1rDWX1qb8+78K/9P/7UUkfoaVhFHImaWERmC59cAQmYKVCPankpFznGkmnO2maCn9Oa0MAy3Jy4rSAPX+uDqnOZCKyxtrIAQH/T52pnSb4xcOcyLsr4Cj/pjv/uhjFlsJr2wuE4YhzoKzpSerlMA6H/5YZjm7W49xxoCEjY01kjQBJMY6ssJQFoYoEPQ6Mc00IiDEC7LEiZrI4UMBrbU4YxDSopx6IvY6pdI6UadBLZf6cdKL0zTXya1mvvQn2i3L6c38+O1n9/Gp+xSe/3dOYa3Autm2JHESsLicsLAa0eo6UGOG00N2hil2EuBcD6dicAqDJ/Oc1oRhgi3auDL2LTHUNR8nlkdxcoiuXhGwtVZudnxSClSgUMoiDTg7xpghzjWoKHAEOCEwdZaatf4+rAuYlpKpVORGIp1AWUEYaOJE02yGNFohUar99iUI6yhzwzSrqMrK1xJribYaISSBBi1AKkcgoTKCUPmwzv1mxZYYkGcF2aQEIVHMKo5ry6fz6jsl699N5Y9zljM3Oy/uxNTqj8n4MFKlJO1mA3DsHfbJ8uIneRnMMcccc8wxxxxzzDHHT4zfe+NjOmnKcxuL6FMzj8A7cR7sDzjTc7QDzc2bj/jSl55l4+wC7XYToXxb1aifMewfsLKyRBg3QKpPKXQEoLTiS688w/dee4+33rvFUq/JKCu5+tR5rlw8i5Ke+KoqB9armY6PvX1xPDVsbqwQR7oOebcQSHAlw1HGUX/Eex/eJk0Tr0mzvkreWtBCYJ13bDx6tMNwPOV4MOHMYvtkPlNCUNVNaM46bt7aYjIp6Tx3CaF81q/WkrJ7Gd19moXJmyxvBjQbkv1dS6O1x+bq7zAoumT2awTpJkeDMVoKlhY6bD3yQoIkaTK2jiP9LO3qPkG1A5WlKkBLX+CmpPAxORZKIeoWTItwFSW+2dM5UIF/jNNEYv8/9t6sSbLtPM971rCHHGvu6rn7zAfTAUiQ4ijKkkO2Q4xghHzla/8AX/lv+MZ3vrbDN5IjZIkOi6JCMkGIBEAQAwGcgzP13NVdXXPlsIc1fL5YO6vqAAyHTWIgw/tF4FRnVVZWZu6c1rve9/niS078IY1kiB0mhAspIVYWiukwZ5Ct4ZaO8/M5i3WF5DlFKWxcmyT8i3IIioUYkBRIUIBvAvt7M14+y3g5u0WeHzKd1hSjIZlAZlONNEo3TE5DDPAPvljy40eOP/rmggePheGw5NrOJkoJj/aOcFEztoHgWhQlThXk1kDHZlNK4UQxLPJkEAbp+NjJ3BQgdEMRbmxvA4qj89N+muTfU/VG2P9HvTw45Y++8SOmg6/y1tYIYw15CKgOJB9NmooRRdHWLQcvD/Ex4iPcvL5DGxSzpef0fEG1XGII3Lg25e7ta2xuTMmyHJQhxARm911kNYaIQRC7iv5e2lareFbXYLzkU302y9VpxRG7NLlklQbruFsXAavuBWF1MamKmE6oK6kwpVIoOYojhgpxdefQK4pBxvqNIdfuDxhv5JjME+WMUdNgdEPjWpxv8XGDIENEGTAGZQyZMQRboLzpiF4ri0ujE036dAAAIABJREFUu7RZ4o+lXYEgEBBErwy79B9tQUWN0iChZahPCX5AjCVB593El65zLkIMDucCMRpqp2laTZZBkWnGk4zpNGc0ySg7Ewwg+khVeebnDXXliDFijcJmhrwzocgU2iqs1t1tSDtFRgniA3VTs6w9IYI23YCCK1VZRLrpJQatSSk2Ls1JfcEHS6YcrN4g0uMHEazRTMdjoE+G9erVq1evXr169frF63i25F98/Xscf+Udfu+t21idkCKNjzw7PGPRtChg00bODg/43vc/ZTwsmEzXLtZBy9rxre9+xK980aNEc+f1+xhrP9uGUTAY5PzGr32eP/3GD2mj5stffJPJeECRF93AMOH49JzJeECZZwxHQ+7evcnNm9fZ2ZpSFDnOeerW4YMis5oYI+fnc0ajCZ9/d5fNtSGxG3IWtULlkfPTGU+f7/Pw8T6b61O21oYoIjFAEIWXSFs7aud5/myP2Wxxsb5SHVh//uoJrx7/AGle8NpXtti4USALz+6mpphYot1jyivuDz2fPn6P5/uRu7d3OTo64vDwmBAFbTSlFsrZpxTljCZoglLoTFGgMB2iB52QMd4LLmpya7DiSX0nTV4k2yBKmviodUvWfkgVC3INWlnmLjIwGoUHHJnRFAPF8viMk7MSs2EZFcIwE+p5y7Vty7V7a5jRANFpbdQ2nqefHhMXDVulYX9xh+/urTOZfMqdey12UGAjRMtqnlxihiF8+KLikwcn+LbgxC8ZT1Py7vB4dhHyWMiAOmYJiq+Eo4VHlGd9kOqsizYwKQyjwuIq162jQmo/dQ8t5yNKaXa3txHg6OykB+j/PVRvhP0N9GjvkP/jz3/If/0Pv8ztYYbWmsxEPtsZVDQRXNNy/OoYL8J82RCxnJ0vmc2XVLM54lpePC7Yf3HA57/wOtevbWGznCgK5yPeR5xPL5radlB4tWJj6St/77Om10VS6q/pLl81yi6fs12q60q8c2W+pLOm8blqVZ684I119cOYpkLSniKhTtHRImPtRsm114eMNgu00YlbJYKmYmu6x6JqqZqKxi+p3SaiRihlu2itx6iGnCUmNhgVUaJSNbC7r9MAgXQ7U3qObixxN3JAp/vLWIXuRoyIXhLkmOALvGSgU5rN+4Dzjug90deoIDQofICsVKytJSj+dD1nMLRoo4kCdRM5P3OcndQs5k1iiCFdHNqjEIrcINGkjFxqtKYEW4jM5569/ZqDE0fVJAMxhfQujcnkR66mpEi3a6FBdcj/VU0UlSqzXcR7lSyEtMMGqY67NhkBsHdwhPdXhhD06tWrV69evXr16vVz1sHZgn/3nQ9ZHxS8d3uLpnU8OzrjbFFzY2PC7rREKxhLy/HTp3xnWDAej1lfHwPw/NlLnj95yf4nzwiN43f+6W/z5V/7IsaYi7/RBa6QGKgXZxwcw+0bO2xvTNDGEGPE2IzHT/aJyvLVL71GlhdsbeUMcoN0TR6b5eztn9A0Lffu7jIcjXn7rSFvCwzKDBFFiJGmdVS1B1VQDgZc373GZLrB+tqItckQHxJPGkByiw+OZ89f8vjpAa/dv8X9O9dQKtLULedPvsfxoz9lbT3wxq9OGN9cA3IYnjMaW+pGgSisDtzb/JR31pd8+MltTg6BbEnbelSH2RmHPdYXXyNTNeXakHNnyXQaaoZWRGMuuNUhCHUbiWgyaxNvWSuMRHIjKGsIYshcYHF0TB4+APc5gpngXaTBETW4qNDRM50UWH+d+WKfu7sFu7emNK1gNjRbuxOKcZmwNyIcHTc8/uCQxbJld6JZGyre233AN55/jh88vsbO+gvWBpZoLapbF/koaC/8xY9q/of/+YS9Aw1a8PUZL14oirLg5vUNtrenPHnykmXlGA0GjKhZOsPMQ33e0rRgtGCMRWGxVjPMI/Mq4r1DJGKyAhcCtRcyrcmMYnt9jfPFjNb14YK/b+qNsL+BYhQ+fPSCPx4P+WdffYdtY9ExpsEamlRf1AobhCYKwTnOD46oG4fJC5ZVS72ocE0D3lOdauZnM2azJZ//0htsba2TZSWCpvWeKIIxBqPNxUSPy//TRTY/y+66aDtekbry9ae4X5JqeJ8582W87GJXRV2ZdLmKinqJ4Gao9hDaE5CAtobJzoBrb3QmmNUd1yol5zRQ5jWb40POl5Gqbqgahw/rBArEO4w7QLs9rDtFhRZRyUSzK2i8MYgCjxCS63eZkutuf+qNd+ahBmtBQqC0Z4SocA4cDk+JD2lqS/Q1MSyx1JR5y9pA2FrP2NzIWN/IGY5MMsGiomkjZ2cth4cV56cN0YXu9glagzXJkDJaURjIdIYSg2ihdXB4EvjRxzUfPFry6ihQNwatbVdXTY6ZXD1MJLNPrZy0bphBKqGujltXp7zCUIvSscR8IMY0DnkyGnITYe/VET70kd5evXr16tWrV69evzgdzxb82YePeH13nemg4P71Le7sRIzRWJOYTT54hr7i6Qef8Gc6cuv2Dof7R3zwVx/RnM6R1hGi8LV//w3K0YC33n0dYywgOOd58eIV/+E/fpPT2ZJytM6PP33J9uaE8ThxmJfLmhf7h1TO8KV371JkYDODMQoXVJf0Eerlgm//8Ak7OxtMRgOM0WRWo5XGB0FpTYzC17/1Ab/7G19kMi7Z2Fxnx6bb4rwkKL/Axw+ecvP6DqNRydtv3efN1++R5RatFKFZUD/+Gurwu9zfjdx8LcOuO1CCWE07L2hql4Z9JVAy1gR+5/N7HJzCH3/nnOF0m2y4jTUZpcwZHf85xBnzGVhbMR0MaYJN6ymtqZW+aJgElZpMRtLmPHSsM51CGdFqDEJpNGujiMxfYLOCWt6kNgVNs8ApjQtwenTMo/kBn3vtGq9da3j37U1srshUwGcDdGZTECNGTo5aPv7hIYvZEmNhUWlGBQz0Kb956694NrvFy4PAYLhgsDFBjIEouDryx//pnP/pX7WcznPQAVcvsEWJ84LUjkXt2JjmFEVGnhfsbg7YPzjDNRWvTw2zNnJYwdbQMjSaKJE2aIo8WSWnMbCsFrjFEmyBtameC4oiL/jSm2/wg48/pfW9Gfb3Sb0R9jeU84EffPyUzbUJv/fOHaYqpX2sElCGRBgUVIi0QYjO056dEZShdRHnHMF76HrGIXgefRqo28Brb91ibW1Klg/IrKHIDZm1GJvMMKP1Z6Y9XgK9Lr9c5IA6gP5VXNiFCdaZaSu+1tWLWtUfr2plhOnODJPksKBCi/YnRHcIoUox5PWS9VtjBmsl2nbcL0/Krq5MK6UYlg0bo1Pmy8iyjri2wbUFrp6Ruz0yv48JM1T0RCWpvqlAq0hG6rC3khJSUS4TUF2BM93eLoGVhhAI6aXLQXZCDJ7QLGnCBB8MIQZiaDEsmJZzbq433NzSXNu2rG/kDIYGoxNTzPnIbOY4PKw5Pm5wdUDFiFZp+orqdikWc08I0DaR8TSjKDOi0hydC+8/bPmLH9d8/LhmXoEyaSKN6qZCKlGrjudFl1VW73td+k2UdLs4ktJmcPHG1R1KVGcSxi7eS0i7O8OyZGt9yvHZDNcnw3r16tWrV69evXr9AvVXD1/wL7OMf/7r77IxzMm0QmtDlNSu0FpxcLogLz0PfvQwrVuWC/z5EuUjaUq88OL5K/7o33yNclBy9/5t6qbhxx895C/+4geEENndvYaQMR7mKATf1ByfzXn48Dl1E7h3ZwfTfcAOIdC2AgTqquF8tuDB4z200l0bRrrP4TGhVyTB5I+OTzk6POX4ZMZkPLiYbK+1Aolp41pr3v/gEXUT+dK799CZxhpFbjtDbfGUqX8fNaoxIoS5YHctEhT1aU0zvxJ1kEtMTmYj/9Wvv+DwNPKdT4SNeERZNOw2H1PU32dWeRZNxAfh9bsZg8Iwbw0ZEY/GSWruuDagusFlUVKTBQVWK4wGtwpfKCHPNaOhYTh4wXkd8bzB4cEMnQ1xAWoHbTDMlzAaDilZYuwIyTMUKYUmIuzv1Tx9vGS5NGRZgYoNlYtUrTAoFWVe8drGJ5ioOD/JKUuDHY85PPH87//hlP/1D19yuswxxQStIC9H2LzEt0tcNBwfnlMva4pywMb6hL2Xh5zNWyaFoXE1WhUXSy1ZBUwEfARtDJNBgdYGF+LFelN3a0sBWi/cuXGTvVf7VE39S3gW9fqbqDfC/haaLyr+03d/zHhY8luv3aBsFyhJLC+rVJoi2TGafBTEeSQ6CMkgUx3EPALiPHVc8PTxHsum5frNLda3NphOpmzZMdoYrDEXMMPu+cml3cPF96QD5f8kHYzVlMnuvJfJsJQgSobZpamm9SVHbGWcrZ706mJCpUeHORJOUOEciOhiyGh7SjEdgtbpNseABC4dNwSthDwT1sc1iwoWjVBVDVWloTomV0eU8ST1zLsJLZ7uNojCGkWWKdDJX4tKuq54umWqS0dd3v6VkQcWIYpnlJ3g3ZKmGlO7Eh811ng2BhX3Nlvu7iqu7+ZsbOSUA4PSJFOrjcxnnoNXFcdHDfXSJw4XHferqzYald5EmnPP0VlA7TtaMZzXipcnwsfPHE9eec7nLk1JQRGCSQw0BVEptGgubsrKABNIGbCYoI0SiSr9PVbHU6XOv17B1KIgwRNi4jCIpMfSZDQkxsjZbEHbm2EAF8+Dvu/fq1evXr169er189W3PnrCZFjy3/6Tr7CYV1x84AW8D+yfzFifCrcHBc/e/5TQNETnLz4fK4F51fL9Hz1g+Id/wj/9g/+MDz95zLe++yGT8YB/8nu/xvbWRmLjSuI7oTVZZti5tsXO7jVu7W5QFBnOeVwTiJnBWsWyWvJ87wBjC770uR0mw4IYQzdgS4OGs7MlL/aP+OTBM6bTEWuTMk2YjEJAoZXDtY4QYW/vJVVV0zqX0C5RkJXbBASzjncZ1bkjn6wxHQg0Glcbmvpy3BkX91C3GlQwKgN/8NtHmHDO/PQpOTMyXSG5Ii8NmRbqNnC28GxPW4a2oHKQh4baCU2AGDXarABc3dopds0aiWgER+KkaYTRMEMbYVy8oJ41PH1cYYsN8sEEqwLoDF+fUi1rlqGkMDrxjhU4F3n6eMmzJxWuDoAmUGK1pm4rzuqIzgy57datQTg997ThnKUI//JPHX/85zNOFwWxXSACtpigtEEpQ1vNMFlBpQ1lDus76xwdnzEcFLSNY9k6xBR4FxnlBh+FoyqyawWruaheKpMGAEjrE1M6xIt19KqFVeQFN67t8vLgFcu6+kU9dXr9LdQbYX9LnZ4v+Ldf/y7T4YAvX1/HNAuUhEvDxahukmFiNCkRWBkRdGyr1Wu9BPxyyf6zl8wXS241nnhDMyhyhoNyFckCuoTPZ4NgF0/GC10B3avPOFoXZ/jMG8jKKKJD0qvPXJS6rEau6pFAJKJVDSwJyoMtUeP7hMENnDiMP0XCAkWNCgqRlFxamTrWCMOBY2sdlg3MZw3LUKPjCaVdUGSOGA1OLN47XEfFz4NCtKIoNJlWBCUElYD5kcs7R125rRf3lUo7M8YI1kTKbMkkb/ChwGJZG0TubUfu3zBcu1awsZFTlAZtwPuOCTbzvNhbsv+qZlm5NHo5pkkiKNBK0C6l7VonnM6Fw5lwVsO8hlkFi0ZRO2jcKqqX0lruomNuL665dGOhV3VUpbrTKsWwo6QhAZFkbmkURqduv8nSWGrnHE3TII0gnSMpIhitGQ0GhBiZLao+GQYX93OvXr169erVq1evn7/+7P2HjErLP3vvLVT0tD5QtY6HL4+pXOB6ZhhmYH3Ly7pORoxKDYzGe07nC6KyPHvwjH/1v/whz2dznMr4lffe5c037lBkGSFGvvntD6gax5v3bzKZTlmbTskyg1KJ/WtEcXB4hsks25tTppMp77w95G0RhsOUDAo+UNcNrdMMSktZ5mysjXnrzXtsrk/Y2hgTQqRtXVqS5AbvGh49ecmDx/tsbG3x+t1dtBJC8Ak+T8Qvz6hffBMJNQfDPyAM3mDgfkD27CXjtXNsHpMxwyXGGdJ6UolCa7ix2fJf/sacP/tOxWzmcTpDW085EtTQ0MwcL05ayhy2R0ITByy9JcRIENAqNVO0qM7Mg6btdtWVwoonxkgbFTqzKFHEEAlBMVCHvHkz4+O9Oe/erHjtRs2TFyVfunfOW28PsdMholOLqqkjH74/58mTihgiMbYYPAqD6IJIwblr2D8DrRRP9is+3XNMxwpjAi9O5/z4YELbWDLtcfkI18xSeq2YEn2N1hZtc9p6wRmeut3n9p1d7ty5wZMnezx8+II6WnbWDbNZRRU1LkRQimvjZAa2PqKtYX1nhzWbsf/0Oa2rUhpPG0QkrT8Fyrzg9u4ue6/2mVe9GfZ3Xb0R9jPQ2WzJv/vz7zP6R1/lrY0Bqq3QIXYTDUGjkjGyMpL0JS/rAgUFIBGiEGPD2eEJIUbycsBwMGAyGpDn9kpkc8XEUlf9LlgZa4qfMrI+I/kJA+3ijKvfUxeIsFW2TKn0QnT1srSOKBXARMgGSH6HMHybSk+RGlp/QK6fU5hXWN1N11Ry8Re0ErIMxmPPZrvk/OyUJqupQ4XVgcxGohi8CC5E6uBxQchUqmZmhWJQ5EQCEkO6DyWlxFZ+2E8l40jgfyMpbp1ZYTwIGFthjWZ33XLrWsbubslkmkwwpRUhwLIKnJy2vNyvODxomS8DElMcWoAggvOJI+e9MK/gdCGcLOB8EVk0UDshiCaKuUhl6a6iKpI4ZRIFiZEsS0VOwVwkAS8PlEYwiEpvUkTApDi5tZa8yCkHQ4pyiDYG19bMzk4RmeGc61Jh6SLzLGM8HBKjMFtUhP+fjwHuTbBevXr16tWrV69fnKrW8W+//SFNG/j9L7+OAhZVA8rw+u4GNzdGWKVQRtgYZBzOW2rnmC0b9k/OqYOwszZCKzg/OkVHQZU5xmgkCMEIy6rm8OiUZe25f+c6Fo22aXp8SLvlKK3ZPzjh8csz/ovf+zKDMmeYZWQ2fVYPXV1usaz5+OFLvvrem5Rlzs61La5f12idIO5KQ+sDBwfHXNveIMtL3nzzHvfu3aYsMqw1+BDxzlFVNT7PiaFkP7zOef6bhNG7lOWAx7zNOHwXef6Yt+/+GExIG++smM1X2dAKpYVbuxlfeGvM9z/whDbQTnJMFVGto8gNB+eeZ0axM7XcGTV8PBsSdYHGp/tNhKBS6ACj8E5oasErjTU5SkmajhlT2EKhyI0mZMJrNzzvvV5x/25JFM1bN07Yvb3GYG2AsWnQ23zu+eSjGS/2GqpG8K7FVXPKwjJZL4lG0zhLXQdm54IOLT9+1vD+U89bO8LGhuHgqCU4odQBURm+qdHZCF/P0Uph8gn5cIJr6zQEQAx145jPFpweH7FYLMkyy71bm5yfL2lizURVFMOSg6oh+JZJDiYr2di5xu5r9xMHTuDFw0csF+fkAlob2ihorVEosizn1vUbPHj6BOf9L+nZ1Ov/jXoj7Gek5/vHfOP9B0x/9W2uDwpU06AlJBOMbrJfV5UzOjn2QQTCKhW2muAYU2IsCmeH5zx58oLReMzaZEhRZFitiTqlyozWF1GuKwiwz7C9Lo0suejW/XWL/K5MeJkQu3KBK7MtXZ7qapcpM6a1IhoN2Rg3ukFrP4c32xgC0S/wzpOHOSE7YThosVpQWrjoSHZmnlaQW0dpK8osxZ21TsktLZosGGzI0AGiD9RRoZxFtxMqXUAMOFfjQwMqpFvTmUuXFuGlkbTihmlrsBFQkWEprI00O5sZWzsDimGONjZhzSJUdeDkpOXVQc3pWWK/5ZkiBk3jSG9mAXwQnI/UrbBsoWpTKixKYodZrS4AlxLpbqPqKo7pvglBugmeAmQJWGnMpRHZQb+U1igsokI6v1KpRluWDEZjhqMJRTnCWEPwHq0zvA/EMEsVye4RoZSizHPiMD0OF1XVA/R79erVq1evXr16/cLU+sA3PnzMznTAP3jjBtc319jdXOs+/66GP4FIZFQkjthkAEqto7VmVGZYrfBRyEXQ0XP46oi9l6/IMsuDB884P19wY3cHYkRZlT4/C0QvtC6wWC558fKAtkkMsJXTpDDdZ/W0cb1YVHz04AWv3bvJjXI9BQa0whpN69In7Dyz/OV3P+LLX3mHOze30dowGGYdDyytt6yxPHr6itFkG1+8xax8Azu2DPIcpRWtHnIavoSuP2Hv5Etc3/yASH0RglhRYFanY4Tzheds5nBOaF1as9XGopqGs5MWt4w8WRhGkxH3Nw1adniy2GXDPmGizwChjSq1ebp1R/Dpe6JUxzxLnDCtAWMSGqjQ7G5G7lwfMxgaQvSYcpNiWFysyxYzx9MnS2bnDlSkKIRqXtF4yKdDDo8X+Chs7IwJWiE4fGjY3cx4dab59KBho9YsyNkoZtTOsohDskJjXEUrA1w9BxQ6H5HlqabqXUVUhpf7JxyfzCgHJTeub3JwPOf0bMEgz0AFalejdIkTTTCWa7dusnP3LkpbRAm79+/R+kD76BF1vQRt0bZI6TmV2k/WZLx2+w5PX7zomWF/h9UbYT8j+RD40SdPuLYx4h++e5dxnhPrGqOEqBQRjVXScZ+EoDUigpOIiqtaYzLALlJd0nLw/BXD8ZjRaMSwLLHGdKaU7hJVsfv3lXisrHYJ/hpO2Gd0pWF+wfy6Qh37iTTYihOW/sbqIjTKjqjt68zVPRzbCBlearwPND7HLg0hS9eyLFPk+IKB1e2stG2kmrc0ixa8w6qA7hhZWabIvMF6gzUWm0Uar6kYEt06hhIlEfwcE+ZoXWMI6QoHQAlGKfSVWx5XLDEFxmqsgclAs7GWM10rsJkFZfAhGVTOeU5Pak5PW+oGjBUGA0XwGtdCG4TgFC4IIXZ8MAOZFYoMigxC7AYTCIgHHyOiNNIZYat04OoYhhBo2ouDmr7qtNOE0p0Hmowvusqp1gplLSbLsXlJXg7JyhKjLSaLjICmaXBtS2xqVqQB6R4vZZFf1GIXdd3XJHv16tWrV69evXr9wnS2qPmj73zE1mjA529tI0S00ilAQDKbXp0tsdayNsg5BdatSYkclTabrRYWjWNZzfjoRw+wmeXOrW2CwLtv3+PtN2+QZYYQAt4JEg1RIqenZzx68pIQ4Z3XbpDnaSM5AIq0YFssKw6Ozvjo4yeMBgVlbi9bPiqCTlyzKMLe8xfMlxXzeX0JaZGuuCKpHaS04uXLIwbuNtfubDIaSxoW0P3Ns/MzPv3kOfXpBr9h1piOFGX+fZyOV1jO6R9RhMOTlvc/OuPJsznzc4fE1ExyohmUOWvrEVNY9v3b/MXhXX48h6VMEJ3RMsbxkIHao0bQUeFFsBIT9zpCvLJ8NIDJFFErYkjr2bWhYlq0mKzA2QzdTcNEhJPTlud7Fa4JjMcaHyIhRgaNZn4YCM5RVQ5lDK0PGCvYEqo6UpqW+7uWEC1ni8D6ZEkVSjCGjECgwCohSE2kxDdzMqVR2RBFJLgabS0iBSFExsOc+bxiMh1jjOHkZIbYAkSjiVitmTuFGYy7xGBqHQmam6/dRynFq6fP8d5363b5zFozszn3b93i1dERR2enP+dnTa+/iXoj7Geo2aLmOx884sb6hC/c2sJkGRJdgrjrzuXojLGgLycdwsoA44oZkr4XpOb5o2eMpxPGw5IsM5hV5xIAjdYpCaQu/auf+noRjJKfOBPJ7FoB9q9KdTbYT9cqL5lWgqFV6yzUgGXcJkiJNiptR4SCuLSomcZphcEjMZLngjUpMhwFvBeWc8/h8yWzkyZVAs3q/ki2jM2E3GvaUGIwKGVxeoLzEyQOECLGG/IIhYClwaqQpniGdGvEdFcb0ot5d8pqYZgp1icZw1GOySwoTQgJhuhax+ysYnbeopRhNFCUhaZ1UNXpTUf7dHlRUjsTEYyGIk9GXzLBhBhX0y3T763+Z7QCUelNvjO4ogjBBy68MMBak455B8VPXLdL6KQ2GmUsURkCGlEq/dwYDJaihPH6BnVdEXzAB9cdTul2pTSDorhg0M2rZGj2VcFevXr16tWrV69evwgdnC/5F3/+Q/673/8dtoeWKJcDqWofODyfMx6OuLkxQinF8aLt1i2ps4KCpnW8OqsYFhkfvv+Yydoa733uLutrI8ajIZ21xdHxKYNBwXQ8YG064e03ct55SzEeDcisJYRA3TT4YCjy9HnbO8/m5gbvvrvB+nSQGL/ep5aMGJpqyaOn+zx8vM/GxpTrO9N0zUIkisKpSF011LXj4OCYYvo6mzfexdgMRapWGgVNveTg8ICT45ecnzZ8+0eP2RkE3rhmyfKa9srGeAjC3quK9z88Y3Zak3nHMNO4IFitE2aGgmFuaBbbVPO7tGrESasw1mCVoVIbvGDMpPHo6jnFMCOLgsSAyXJClC6ZlwZzqQ72H7UhiMJIZHHWUK9byolFdQGOEIXjVxUHhw3eRYwRNIFBka77eDhAlMI5KMdDxAg++gTjHxlcZWgWjrWi5c1rcDyHB4eerPDc3jzhfGl41W7jVUGWCY6aqIe4ZkGuNGJL8sEUbQxtU+Nb4dUBrE0nvPb6HZbzBXXzkMWyZmt9Hbec40VRDgo+/fQJeVkwnk4A6WqXGbt37xBj5Oj5Hs4lPI/q+GeQ1nrWZGxvbDCvljRt+9c+1nv98tQbYT9j7b065U++/wk7a0NujktMEFL/MYJKNbSYPI/knktKholKUdM0+VBdku+dozo959Enj5lMJqlTrhWDK8B6lF4hsX4CDi+fOQWXYHz5yXN0sMmf+oXVz1a/37GwVr8Yo6YOI5ZxTOUMUWmMCDEoXKNxc1BzENHkGkQC5QCKArQWQowsl4GDvQUHL5eIUuSdYRU69pYn1QG10Vhj0VKgKAgyxjMhhDx18YMmj5EonlLFNOkkxtW2SzoESnG18GeIlBlMRpZykGEynSK+IrRtpKkdy9mS5cJhM9tB84UQUsJPRU3wQq1jMijp7pzOSMqMosyzeMbtAAAgAElEQVQFH4QQ6CqP6Q6OgPhUgZSuh9+ls9NldPe1DwHlLghwWKMB09UiVbokpUAb0CZxwyRVNZvWYbKAthlaa0xeMBxPWdts8a2jWsyIMVwMbFB0ZlhZpMqm0syWS1xvhvXq1atXr169evX6BWnveMYfffcj/pvffQ+Np6lbzpc1j1+dEYKwNszJrWZrnONCZF77i4JL4xz7J+eIsmgR9PkZP/reR2xMh6xNR8TuE7RRmidPX9GEyK9/5S2KLGe9LDEGQHdDvhSHx0fMlhVv3r9BXg64f/8Wr91XZLkhBogxEpqW5bJmbTqkGAy4d+8muzvbDAY5w2FJiBHXJtB8LCzWKJaLBaezwM6d9yiGU6LSSEwM5RgCShsWTUSyNbKiYu/U880fn3K9PGNjqoh5QUDhvfDs6ZyPPj1jUXkyJegyo/Ke2VnDqNSMJgUN0MaCw+WAZQvBOKw1KF3iVQ46R/SQc/kyxXxJM9snyw25zRkaCL5by5ACDaUBi6dtW7Q2lMaxe3tEub2G7XhgMcLeXsXJyyVGR4pMg05puDJLm/houH9nwPNXnrMqolViLSutMFaxuVXyok3Jt/FICAjmWLC0rJUg0XPURhQ+oW9MAb5B7JDgKqw2KJ0RQyAGT1YMcS4wX1TM5ktiiCiluH59i7ZuWDjYmhpu3Fjn1fGSH/3wY77wpXcYjYcXjas8z7lx7y7BOQ5f7OOblswaRKWFbOgCENZk3L5+i8d7T/E9M+zvlHoj7GesKMKHj/b42uaU3/+1t5nk2eoHSIwdpiu56WiFrIwwAekA7khMaaGVGdZ6zl8e8ODjh0xGJcPCYoziM4dPr9hRAMmlF/ksSF9W1tcVTtZFmHYFWVQr+teqJnnVE5OLLytYv6DwQbGshUUTQHsg4puGtm5oFgFZWHzIMBigoW0DWZ5iuk3rOTysefpkQWHSi10USSZY5wr52F0jHbsrYxE9JsqISIGXHN+5i14CWhwmelQUVPQJ4ih0abgr4H+J5DoyLAxFmaFtMpdiFKraUy0j1aLCNQ5tDFmmyW1EG0VUCqIiRkUImuA1TZNeGFeJLyXpTcIaRZEJLgcfEh1NVPd1lQoLHZhNp255iKB1Sq4BhOC7wJ6ApAkl2mh0N/5ZX7hw6sIE897RtC3G1milyYoCow15MWS6sUUIgRgDzXLRxX0veXNGG8qiwGiNNZqzxYLG+c9OJe3Vq1evXr169erV6+ekP3n/Idl0wB984XXyzGKtYWM65vpWxvakwKq0TlgfGJwPLBrH2aLm5ck5URTX1oYUVqNiYLn/im9+833Gw4L7925QFDmz+YL9V0c0HlzrKTKLiHSE52RwiQjzxZLv/+gxN65tsT5Nm8u5VShtiDGZKDEK3/rLj/jVr7zF9tYa5WDAaDQksxofBKMMWQ4PHjxla3uT9bUh129e4/p14dXpc46WBaZcx3vP07197tzY5ZOHz3j+4iAZL6NtnPe8/9xzffyCf/TunEJp5npCVe+iqj2m+hxvFFZB0Iq9KgUOSgtBwFiDxpCPcqRJ6z2rLVEy0BlKFPgaIacdvEcevkdQS3zUaQ2gQenEtok+onWkHGaoINAsuX5vneHWGNGaiKJtIp88WPDyRc0oh8kgkseOaxyFLEtBgCiQGeH6pqE9iMzmHuUCKrO0mcZmMJ1azk9b0Iq1qeFX3tD81cOGD54bsCPWywai46iZpOFhzSnRADonuhqVa7SxlIMRCk/rGpYx8r3vvE9eZKxNRzR1y8nJDIAghtPjA+qlQrAsO7i+KoqumQNZUXDrjTcIIfDq6TOqxQxbDBA6LJIxoKDIMrY3Ntk/PLhAGPX65as3wn4OEoG/fP8h1zcn/NabtyjzDLWqQUrAaLACOiSDRkkXEZNkhKzqizEmwHqMEWkaDp484/HamM1pSZ6p7kloSAZVx466ArZPV4bO3Lo4ceXrZSLsJ5+Slwywqyd+4nLp2GESEL+kqgJePEoCrm1pm5ZmGYgVtE1GbAw+CONRi0RP24YOJF9wbWeA9jOauqXxqS/OCkhJV6Ek4Ak4D04MXucElRPJkqmEIAxoGZPRoGNAhXBRHY0kc0lrhSZQqEhpFXluut0QRfAR1whVFWmqlhg8aIO2Gjoem1GknaKsux8EYlS0raFuhbpNuxhGCXqF9jIKY4TMQh7SsQ1pLkKqyEbppovqLrGmUKIvgJwAMXgCKUEWo8ZEjbU21SNXldfu5yGEbndGY7RG6zTyWBdFevMuBkw3NnFtmooiTUu8wogTETSaIi9SCk9rTmdzaud6M6xXr169evXq1avXz10xCn/67Q8J85p//MXX2RoPWR91qRytEsw+RuqFp8g0IhbFgDLPCKIYFharu4FUruXo8VO+/nVF3TSMhjkPHr3g5cEp77x1H6MV3geMURidTLD5ouF8tuDp85dXeFyJ3iWiIcYLs+zk9IzD4zNOTudsb651g7HS72gUoRtO9fDhcw5OFvz2r70LolEabu0oZk+ecnzi2Duc8ezFAZtrE17uv+r+qCZEQ4wGWsdJfZ19Z2menrNx+4vka2+y++Yxyv1rZP85s1bIlLA5tShKhgODMjrxkUXYXjvhsBpz2u7iydAmGYDEFhc9wVXo4DHZNqV+jlURoxV5rlFGYZQwNYHdjRFSpGmMxWhAMR2kmmaEpvY836uYnbnUtAkRD1gFRimUVVfWxxBIx3R9nDOfOVofMSrSLlomGwVZrrEWxEW0ga0xvHZD8cHTyKZekpFx6oZY5fHkUK6jfJNMOVEYX0M2BKXT+su3GJMTfMAOC9rWo5Ri99oGx8czTs4bFpVGK2F7e8Tjx88ZHZ7wxpv3KMrigqOdFTm333qTGIXjly9ovUeZDK3TeiohhhQb03WCDxydnRBjP5Ds74J6I+znpEXV8Cff+TGlNXz19ZsUhSK7CFRFLAmkngXBOtAItaQ0UFRd77obS5vMsECzWPL0k4dsrg0YFncxengBsVcKiBqt5cJQu0CCyVXOl3StyxUSnSsjd9PPL09cGlGf9daEi9mTImRWGOctNjjOKwsovPM0dU27bAk1tI1FqoLgc8aLJTEGAgNGa7vcur3NWlmzOHnC6eEhfh5S5/wK9F8jKBXBeCIe5zxOR6LViNIrR46oC7wa0lJhaFHRYWJEQrIML5JgKpJbIc8tWW4xVhNDxLtIXQlN7RCJaGswtrvsbrKjleRXWgOSJTNrWCjiWOOCoXGKxnm8DxcsNJG0g6K0oLVgjCLrzLAQIeoVL25liEEkvZHIatqnCCKBGCISNRJTCixTgF4lC9O7SQwBDzSfeYCk1KC1GUprinLAdHOLploSwyl4f2F6pmRbui6ZtUyGw5RonHfJsL/1M6RXr169evXq1atXr/9nVa3na+8/4s7uNmvjXXK1MqK6KIBSHM+W1B7ubE8IscFFQ6Y1xpgEMdeK4DxHR6dEFNpavvLl17i2s8md29e5dWMbaw0xBryPSLQYDa6tOTg8Js9yfvW9m0xGOSEGohcwGms189mC/YNjPv70GZPxgM31MYrEGQ6isBra1uNC5OWLV5zNlhTjaWcARbQGhea160L74gzXtHjv+fTh48QOVhpBCKGlcYE7O9t85Vd/HQrDf/yzP+F3N25yY1yiRjdYv/d7LM/+N4JEFk1gWiryPCdERRuEpgk0tUCI7A4PqcIGLRN016AxWhMAF4QccHFIEMvAtHRlGNJKT7E9hJ1RZCYGvZaTD7J0niDMF56jo5p6GRgOUv/IOZ+wLlpdsK1NTMdGW41VBu0VdYjc3DUcni05Oa5YnjUMJxmha0ppSUaYiHBjKrS7wt5h5KDOeWPrjEDkVb3OkgFaZ+jYEFVK7pnQgslBZeSDKcE7WlcxV4qiDNy5fY2da1ugnnNwcMpkbQ3xNa9eHTEcFizmkUcPn/LmW/fTY6tbXxdFwe233kRrzcnB4YU5qjuWcxqyqdja2AQFx6cnKfTR65eq3gj7OerV8Yx//+33KcuCL9+5hu1MreQsCYJGtBC1JhhNbAIRn6qB0o3zVVzwv6L3zE/PePTxQ9YmBcW9GxfjhFUQ0Mnc0kqhouo6zJf1SH7C+Epm2NXvd5b86kzpH/ykDbYCSq2qm3kGa0Nhd+pZLGtOlwnY6JqGpm4ILUQZomMLNbTWMhgM2Ni6wc61HbbWS0bZOcPCI6HG+7MOJB9pYrqyqzSXNYEsa1BNTXQ1kQHY9JIsSgGGoDICGV4sRhl88BiVmGQGIVdCYSHPDfkgw+aWGIS28VRVoKkDUdFVJdOLtShJXW9JxpfqmohKKYxR2EwxGGjWI7RBEUQxX0DjPNqo7nh21UOV0mJWg9Wk2C6JiYaKFzsHkfR7SukOtB/xIXYpsW7Uc/AErTA6GWNRgVJCusciynUeoVIXZmheRKyxKG0YjcfUG5u0TQP1sjPZLjlwXaCQzFqmo1Ha8ZovemZYr169evXq1atXr1+InA/8n9/6EVujgs9dXyeEy6nmzgWOjs/Y3NxgOsjRSvHDZyeUeZamxndkFOc8h2dz7mxNMIcHfPJwwj/8rc8znQywtuMNK83xyTkiwu7uBpPphHcGQ0AoyxyjDd4HmramRRgMCsoiZ2M64Z0377M2GbCxMUlrueBxTgBLDJ7nz1/x+PE+6xtrfOHtWyjS5/oQSC0QXzHVJ9zd2uF8lvH81TGa2LF8I8ELonMOz2uOThtCdUjthOWyJoYAMZCtv8XO679L+OT/wovCOyELCqUiMQRMiJRG0SIMzYydwQEv6xGEHKwhs5pcIgOtseTo+SGFnlMM8hRI6JaBIUaqWcN5qWjXSnRuEu8YOD9uOT6oUm5OC1ZHrInEDvuiFYmrLIIWQaxBmQxIPyzL1MC5MzaIF/LM0Abh+x/WDPC8cd2gdJqCOS7g7nqkreD8qKIoUkPq1EFUnkk252g5SuktlRpHmhZlS1YBgawYAMmsPD4+pSgL2tZx89YOSile7J0xyC1rAxCj2X95QJ7n3Hvt9sU6G6AclFy7c5u6WrI8nyMxolEoYz5D7d5c3wQRjk5PLto4vX456o2wn6NEYO/gnH/9te+g//Pf5L3r69gYkBC7ul8HgFdCoTQBfQHSpzO0YpQLZldqVjqOD4548NEDBmXGzes7QAmkJ5mWZAgprdBao38qy8WKw9595yoy/9IEWzHAYGWsXAHuf+Y/aTrieKS53k26/PDxgpNKaJsEZI8BUANsrpCyYLC2zc72GttbW0zGQ4qBRZuSctKysbXENS1BKkQHpI20IV0XDRgTKbKGQbakqXOaUIIyqdcORKUJonCisarryEt6oFslFEYYZIqssJTDnKKwSIi0jWe59FS1IJq0Y3HBUkuwQ0VifOkVf41kiqUXUo0xQlnC2gSCpJTabA6tC0QSLF8phTWJg2YFski3Y6CQ7gXZmC79pkBpi80Tp2CxhLoB5+mSYiAxEr3Hr1JfXQRX6dRNDwpwq4N3CdyXPMeaNGp6NJ1QLWbMfYuIT/B+ES5mNsQuAZdZ1idjBDjtzbBevXr16tWrV69evyDtn835H//N1/nv//nvcX9jjPOOo7M5z14ecX1rwms3NxCBYWG4vlbyw+enbI9LRmWOc44Xh0e8eW2d13fGZDZy/PgxfzUu+PWvvt3xeQVjNK8OTni8d8Q//p33mE6GFEVqh2hlCMmjYV41fPpgj8+/e5+16ZCt7YLtHTAm8YNjFFrneXV4wvbmhOGw5P9m701jJbsS+77f2e5S+9vf65VNdpNscsjhbOJIM9LIMzAsWQIUxYgAxzEiR4i/JAgMJEgMI8inIDASIIC+RIkQf4iQII5l2ZFgjSSPPDPaZtPMkBzuZDe7X/fbl3rv1X6Xc04+nFv1XlNyJCEiB9HUH3is4q2l71J1657/+S/XrmxwZWMNoxUm0sGuWVrGozFlZIgiQ6eZUxT73NxY4uVJxmiUY4scHcUhyF6lHJ6N+Re/8ybXFoasrC6xstSuxiyOsrCk6x9nbbiH3XmDwoVxnhbQakikU3RPCuqxx9cFabxH5ptkrOKFI9ESV2aUwoHNWVbHUPYRdIi0xJQjLIoaBaNYQ9IiEQrtQoj+6UnG8d4YjSNKQ4+XImQy61igZXCqeO+RPtwXiKptUSC8QCtPWlPUEoOSgjubQ377j7rkE8liI+Gw71jphPfMvEDHmuvrkn5heXtHENdCLttKLeNoVMcJgxJBCNFpag5PS3yZIXSEUgZtBNIXDMaW467j9GzM+sYSUip2tvcp8hIlg8Cif9IDNEkS0T0+obPQQalg/bHOcXba5bR7iEIhhKQoMiIVYmwcVU6bEKwsreKQdE+P55lh30fMibAPAXvHff75l75G+flP89H1DqZqDPFCoitVlRdgJXgt8V7hnEcIiZNBCaSkxKhASLiyoHtwzP27D4i0Znl5EYirHHWJF4JZj6T0jwTen6vBzumvRzLFLpBlXHjdBR7lnDq78L3VStKsK7T0RDLm3vaI3cOSkZWUMkF6hZMSrwUqEiRpHWMipFR4L7E+RZlVkuaA1sKQPD/E+hzrLc7bKrPKowRE2lKLJ0zKCUU5xIrqYyxklY/lKLxD4VEeoigEMNYiqCWSJDUktQhjFDa35OOC8dgyykKjJ1IG73pFADovkKGEksKGzS7l1D4YHvdSgPRoLWikYQ/Jyp56NigYTSy2KndUSqKdwwmPUeFAWBH2vFIQRSLYZo2nVhc0GkF11ht69o8cB13IimCbxHustdOcfZAh8F86CUrOlH/hOItZXpz3Hh8ZtJZEcUTaaDIZDYMizAd77VTxN9UNKiEwxrDQrAOe08GIwtp5Ztgcc8wxxxxzzDHHHB84Cuv44nfe4m+88CSPL7dYbNVJ04R2LQl5wM5TWEct0lzu1Ng8HpAMhmTZhFsbizx7fS1kgVlHUo7Ze/su3xVw9doajWaDIi+4e2+L3rAkywtKa1FSIJ3EiqBq8t4zmWQ83DnkyuUVWs0aHo+WocSq9A7vHVorXn9rk6tX13n21lWU0hgDxoSmSSE8URTz3r1tpFQ8dn2DtFbnRl2wtuooiph3N88oTZjkz50gThtY6zkeQtTzrK7XiOME70PzvC1znNLUrnyaq+4EfbTP7sASIRBCcXoyodcdIVqGpJ0QScvNxYfc6RoGmWZMiiTYKPtnY4bjiGcWDXWVsbDY4HgAcjJCdGrEa22kkhSlpygc3eOcw70JsfIo46C0YTRqw4S/0mHCPssBPx3TSQweTRiDOW/DcqMQQLsRc2mjSbvl2eyfoieONx4U3CxguSOxFhwhfPvmBry9XWJ9RqI8J+MESYkSgkZN88lnWvzQM54/eqXgW98bkhUZUscURXAxeQTOlijhODvpInXMykqHs7Meg0HG1r4liTW1RLB5/yF5bnni5nXWN1aw1nJ60mWS5dQXF+kdHhHJQHa6cR+hI7xQYdwrQrbd2tISEj/PDPs+Yk6EfUg4OhnyG1/5FuVnXuBjlxeIKJBVvaDCEUuHlw6LwwqHVYISkB5E6PBF4TFKICW4Scb+9iHGRAghWVhok6YJ2hNsckztiy5kU1FlRXkxzXcHmLVLPiIMe59CbBoGeFERNuPOxPlrtJY0GwatBLVE0kglW/sZZyNPXggK5+lnlnSYs1wEVshXVkMrFIgmIt4gaQyoDXLy/BRrPVYFMtAFMylGWhKdUY/HZC4mcwYnBXgFzlIUBWVpQToSGWyQzQQadU1aMyRphNYSm1uyUc5oXDLOCdlsUlSkkj/vCfDBEy8ITL63UHou7BURCDRVrR9QJ+x3KTTOg3UCO7G4qjFUKzH7MUVVKjPAGEFiPEksaLUkq8uaxU6E0pJx5lhqFUS64OG+Y5xPCUlBWTrwBVo7hJR4qXBeIp0PYZ1M7ZEybI9zeG8Bg1aKtF5jXG9Q5iE0X1ZKxGnGnJ86YoUgMhGdRj2QfKPxvE1yjjnmmGOOOeaYY44PBa/c22M4zvmFL3yCpUZCHHmklFjnqmtsybu7Xa4stxkXFingxo01VlppaPHDY7TisDdiMix466W3ePWtB1xaX6AscobjgqeeepxIK2xZhsluFEo4+qMJ3e4Z7959GMqnjA4khgAnfIi8qSaVDw+OGAyGnJ0NZ5PKvmqwD86gkO3bPemxfzzg2tU1BCFcuN3w/Ohzmqcudzg6dbx2r+B0LMmkwtXCdfz9bs7+Nw65ceMqt6638FJxf3Ob1bUV2s0V0rVPslx+jXHZYzLJQ66zEchIEacRRgkQEm0mXK5v8np/mcl4RKRjJlbSH2WURUpjuc2TN2NOhabuc+RCRK1dQ2pJ6cAWlskgZ9wv0Qpya1G6KgxzU6cNiJmtEryXjAvQWtKqaXTpQgmBE8RGYwFnISsciZ7w+ReX+e2vwfbuKUoqXrmX89QVT6suECaMVJMInlx3HPQmPOhJVlt9WnFGIWt88vkVfvgFSRoLFluKWMPvf6fHJLfouIaJ6zhnKbIxkODHltW1GitryxgtGY8PWVhoEUeak+4pRmY063V2d/bx3iIVFHlBo90hrdfR2nCyt4tWOoTzI5kNtkOwHQDLCwtYZznr97HO/onP+hwfLOZE2IeIw26f3/7G91A/8jwfXW+jfYnAoYVFeE8omnWhylaAUCE8P+SdeyRAVdErrCUfjNjdOgAhuXodVpYF9TQ+P6q+svj5QHiFjKiKxroo8aqeyywzzF98hPdRX1X2WLBwnquNKkpIQi3VGC2IjaRZN+wcZGwfeYbjiN7EMdofUU+HLC20cFHI3ZJeYDFIvUCUbpA2RkwmJWU5wMocLwE5tew5IlVQj0cU1kAuyJ2j9AZXWspsAOWYJCpJjWOhIWi3NLWaIU40WkuK3DIa5gxHJePC40VoQQHCzI/wj2z91E4qfNg7smppFBf2YyAcPQpBhEBKh6xaXqzzWOfJcot3wRsfm3AelCJYLhFBuRZpaNQkl1cirmzELLQjklhRWM/aYkQjzfBk3N8tyat8+1CaEyy3SgXyKxBi56UDUzhXNZFWmQNxZFBak9YbZJMJzg3Cj3qo4mRaqzBVEk7JsFY93D8bjsnyYm6TnGOOOeaYY4455pjjA8fD4zN+55U7/NTHn6QZm1DoVF2IdntDesMx/WaDlVYNay2RqvJ2qwlpgLPBmO7E82Rq2DkpeGeU8/Styzz33GWuXl4hikMrvS1KnHXEcZjst9bSbre49XiblaUm3lkKa3FSILwmzzIebh9w//4OtVrK9cvLCB/C84UQ2MJTlJbBaMLx8QlHh12iuFY5N8CHZGRaNUEa11hbLDk9m5DtS5AK52OsazLJcnCKNJaESGXJ/ftb5NbTeeYmtJ8iHp4hT/cQ4j2KPGdtQdOoNdFaMbEe60pKK2jEPRZNyeZBRGbaOGLywtGIE9aWx3QaimLosG2DSsIAxnvIxiXDXoErLEZ5VOroD+3MClhUOSvaVZHOWmGUAiSDkSfPPbmTCC3wXuMlKA9YT+GD1TSOPUtty+c+vsC339DcfdBlVCjGpWE1gdwSLKBeEkWeTlKwfTLBFZKFJcELLzT46LMxiy2FMYL1JWjVJdZ6vvLHPcpshI7rSKkwUYJUEuccvbMBSsBwOGZ1dZFaPWV35xDnYGW1jS0zuv2C+/e2WV1ts7SyQq3RwHsfXE9CcLK7i5YKrSsrrHMorRFV2YMQkuWFRQSe47Oz78dX6QcacyLsQ4QH9g/P+NK3XqP91z7BzWaEtAUej/MO6zyl9ZTuPMNLilDhG04Z4LysAhE93mYMu2dsV82DCIla7ZBOg9G9R0yJs2mo/pSxqsixmeSngrhImjwiAQtk2Pv5M1Gll83Sp3wgh+JIsdgRREbQqCmiSHJ3Z8KoZ+n2PJM3D6jFkpuPXULroJqSCKxIkMkKteYZ49GEsvBY6/HTMgDnQHiEtkg1RkqPHuf0s4x+YbCZhXJMXU9Ya2ZcXvSsLBhqdUNkJFJJytIx7Oec9QsmhcdX+1gAqlJnha0JVsJp/Fb16xRmcdyFZUKc70YRCDGlw76uCxcCM53EWol3jqL01bEN2yzO5VZECpJIsNhUXFmJ2ViKWGgb0lQhlGBjxbPQ1EFW7cc83LfkRVhX70VoVCkdXlYzMdNtsCUl07yzUPXsvMMT7hstMUlM2mxibYm1IxAhiOyC6C8o4zwIJMZENGvh3+iJEZO8mCvD5phjjjnmmGOOOeb4QJEVlj98c5OPPn2DZ2sxtiwZZTn73R7v7XXZWOqQmEA4oAXf2zrh8kKN68sNjNYMxhlbR2c0mi1iKXi8IXl7XLJ10OfqlQIhFM6B0pLT/oCTkz5PPH6JOI65dnWda1fBaIVS4Xn5aMRgMMbXU4wxXLuyymKnTZpE1OtJcLiUlrIscZFGSkE2mXBw0KWz2OHpW9eItAwKNO9xVqIEHHdP2dra43jriEbjY1BqnJdYa1leWmZvq8vvf/NV/tZPfJIHm5v0BmM2vAjrRYRZ+xh677uM+gIj3iWunCOl9YgyYzIpGWZgXcRyw3F0EnM2keRYCguZgtNuxlIrYxQ30VrjRXC1ZMOC08MJDo/RIIXDKIeWLhS3BX1bKAgjOJac0UghAUUUBULQCxFiZoQIE/ku2CZ9JNEITOSRwmGd5cXnGxydDGgn8MQVhZuOQb2gLAQSQbMhubHqOJoYPveja9y6UaPVULRSSRILpBQ065L/6N9pUpTw1W+fYfMRKqohlSY2cHZ2ivcwmUxYXAj22+2He+R5icfTGzqEkJSlpdVO6Z4MWFxZC/vHQ73ZpFhaQUk42tlD2GBN9bYEo2ealJAXrlldXiUvS/rD4ffza/UDhzkR9iHDAw92T/ji11/h3/9rn2BZG1yWYR2BALvQ4DgNLBdeVK0n4URSCklhHYUr8aUjLyxZUeKQKCVZXe4QIwKpIyVSMiN0qjefNRNOMSOyxCM814UHpwFhMxbtfPE0UX22hQHGSDrtiCSSRCbkdxI8rIQAACAASURBVI0mI06KggeHx/xR2aMoHU/fvEK7WZ+GXIFqoNNlmp0zyqKgLBzOBkmWUA7lHQWgsSg5QcsCoycoIoyDKM5YbxdsLMLigqJeC1lYUkJpHf1+TvcsZ5x7vAy1xkKEils1JQwJq/IIecif0MaF06+/WDpwLo2T0gW7aA1s6UPbi3MMx47Sntsuw/kwvC4yUIsFKy3Nckez2FZ0OpIkVSgj8E7QbimSRCKF4BuvTdg58uSlQkgDQiK8BZvjnQ371IdZErzDW4sTJbZaX4G/kBemSNMarrQ467BuhMPjnThXlVXcaVD1SiJjaKS+2k8jJlk5b0CZY4455phjjjnmmOMDRWkdv/jPv8x/97e/wKXFFoW1mChidWUFpXS40K4mnZcaKXf2egwnOUpYDk6HmChhvVMj1uGa+DFTcq97ypvvbrO6ssDKksZ5Rb8/4uU37tNsN7m6vohSumo/lLjKIWKd56XX7vHEjUtcubRMFCWsrNTQWuIdCOlBSHb2jkjiiJXlDstLCywvLaCUQCoVxjqlZTAY4L2j3qjTaTdxztNsL5PXnmVrb8Te4TE1Aw+2Dnnrta/z3tue0ekxV1cbrG9c4ubNa0gZJsi9iLn+5BPYEnr9MZHcxhUeQcFC6omIMEJggXEeCKR7hzleWIaZ4pOXT2gteg5MC2kMEJwlo17ByWFGOclJkuBi0tJTFhatfOWuqaJmqqGRFoJSyMo7E6QUxoRs69IBhEl8bz1ag1cC50F5QRRJarHj6RuaWrLGwc4RviwYOYXWQVDgrK0m7QXX1xX/3qeWufl4nUYqSBNJkkhqsaRKHKKRSP7Ln28zyT1//Fofm49RUUpWeLRJoSozG48yhsMDbj15jclkwub9PQ6O+9RqMYtLHUajjNEw48477/HU7ZvU6illadFRTKOzRJEXnB0eolWM844yG6OiGKgEDEKghGR9eY3S7jKejD/079IPKuZE2PcJb9075Dcbr/OzL36EmjYUZU5ZnbCnwee28qI56ykqjkiL0H6IgNI7itzhCkdWVmHsUiKkZHmxRRQZNEEqq6g82jN12KO5X1NM/3/6+CMPTJddIMvCKp9bKqfLZvliApJUsaYEQtQpyjHHBznbvQHfO+nT648YjjI+9cItWo0aAA6DitokaYfOwgDpI5QoyJTFZJZMCJSFwoO3DqccIrakOoMm1GNPuylp1jVJrBBChGbIwjOYWI5PcwZZmEPQF2ynasphUVXhVsdCyHOiaopH4tSqAPpHJXRhuRBgtKTd0EwFWs57Jpmt6pJ9UFjpQMYZFSyTjRjqxlGPHWniSWseZcKPSr0mieI4hE5KwTdfKznsxQjTQplasMG6gmzQpciGFV1X/QkCIeYt3knKopypB53TKK1J6g2cC6UDeVadjCvb5XkyWlDBCaGITHQhlH88J8PmmGOOOeaYY4455vhQ8Ev/+tv8x3/jUygPXoTJ7yAmOBcBpLFmtVOnOxxzfanOs9ebRFrRrsdoGaxwhpI1HA/v7/CtxPDc7etorbj73ha2sGhZjXicr679/ex6dzAYcnJyyulimysby+djJgJJ5itL5u7uEaNJyY9+uoWMDVKK4PJwYJ1FKMlgOOHB1j4feeYJ0jRiaanDyoqklw/JJo6drV2+9cevcOfOW+TDHmNh+e67x/zwi8/x9BPrxFGEdY7SesZZhpBtrl1fZH/7hEHvGO9HGA3KRBwel5wd9ai3DEna4vpawfXLJafDnOFJzrXHarDcRkcaL6AsPf3TnO5hRp45tPCUeYEEchsC+2MjkSrMmgcRgEDoEAAUC48lrJv0ntgEVspV7ibpPQaP8Q6FpJAyZCo7S5JI0hieuKLRvsbubh9tK1GCcyjhcSKUlaUKGI+oqwatWkQSC5JYhO2WIW87jkKm9T/6hQ7/w6/A117uY4sJ2iSk9SaLiys0m0tsPbyLtRNGoyEmitFGEycRnU6Tfn9Mo1ljfX2J48Mu77z1HleurhHFEVJpTJzQWVnDWUv/uIuShrzIEc6D1EilkDKUm2ltuLy2wf7R/lwZ9iFhToR9H/Hy27usdNp89slrCOXwRQG4mQpJigtWNh/US04GRl0IMDL41IvSYkvLqe1yr6J1xFOPsdBuEMcCXcXjCyFm1kU4z/oKeFTr9Ggm2PlTvJi5JKtn+RnBMw1VnxFBld1PCEFkJKuLER95osnxQY07dyZ0uz3OzgZ0TwdY6/nsD90mjk14T1FHJYsk9gTl+0RaMhoohkgkPgQqlpB7jxGCKBEo5YmUII41UaSCCg0oC4u1jv7IcjqwDCYOVymxJGG2QlbKLrwPWV+yshTOGLHz/TJ1ivrz3XK+Q2Z1nKKySQbSqJYKtBIYHYoMjk89WWaxCJzwKDe1S4bAryIvKScFolQoIdFKYiKBqjz5JhIYExHHgigq+cbrMQPbImleQpkY50qKUZfB8SbZuHfhuFYytJk6TFIUAu8dzlqiOEJpQ5zWsWUJ3lFkk9mM1/sqRkOGnVTEUXThUzRhnBVzMmyOOeaYY4455phjjg8UD4/P+F9+51t89vbjXF7snOcXV49XOgOaaURpLTunE55YM6SRJtI6jJykwo5zzs6GLLWavPbqe+zudVlaqKO14vaT11loJThbYq1Ha4VWnv5wzPHxKXfvbeO8ZKFdR4ipOimM5ay1WOs56XY57p6hoySkrVRjBu9dFaIfBlL9fp9793d57PoGkdEoHYil5foZejUnvzTkS2f3GQ7OkEIhsbzxzgP+9R+9wa3HNyhDgg5eKPZ2jyjKkuuXVrm6us0k9tzb80grEMIzmRRMckciFCupp9mO6KMRGpZXIprLDZRRCAFl4Tjr5gx6RZgw96GYTBDSVHCh9CsUu01jYyRlCeNCoYxBuWChlB60UXgERQl5HgQL3nnSSBArgbYFDo+1Ao1Ex2E9pBRc2miCd2xujRAhPAhNGCsjJHlRsn3/hJWOYWlhhSQyRDqsl5IglUCp4Aq6fSPiH/ztNs55vv5yHxlFfOxjL7K4doPhMOP4eJ/TkxGHh32UGpIkEUkS0e32GI8zVlYXWVxewjrPvfe2OD3ts7TUwRiJTmLiJMEYAwJO9w+JopRg1woB+n42OPdE2rCxsoYUh/SHg/lY6gPGnAj7PiLLS77+6n0Wmw1ury+iykCHSzxKch7QTlARFaXDCbAqtP8JqdAKlC0praUYTzg5OAqZV1HErZvXWQi+SIQ4fy9P9fo/zQb5Z+IiyeUfWTwjwaqA9SlNJqrvtzGS5cWUjz2zzkuvJOzvFQwGBf3hBOeh065x+9ZV4sggUHjVwcSBDBN+gkIjrK3soOHf01KQpoYoVkFaLCVCSJQMj5elw5aW8cTS7VuGmcMi0Co8R8ngQ58WEggxtZIyU4QFjuwCMejF+0iw89tZw6bw4b4UKAFGhiwBbRRSSaQUdE8yssxSFgJX7UBBWOeTfsHB0YROS9JsC2iEGQOlw3O0FiwqQaQNaRzkvt94N4I4JamvIKQky9pERjE82SabDHCurC4OHHiB9xZXTn+IVbCeCogiidKGKE5DVoGzlD4PqZd/ykcBQEpFEscViRv+RpM5GTbHHHPMMcccc8wxxweLnW6PP3jzPp+9fYv1doqfjUTOIYCFesJRb8yd/T7PX9XUk/Pr1Emes38y5Ll2jSXpOTjssbTY4mPP3+TGtTXiOMZ5KMoJeVGQpjFJbGi16ly9ss4zT6esrnTwQFGEancfG/COvb1D7r63g9KGZ566EtrjbYl3AonCOUuvN+L4+IR37zwkiiOM0ShV5bT4QCClseC5p6/whU/fYnv/hP5wglQG8gm/9ZVXuHVtmZ/6widC1hZwdHjE/kGXq1c/A+2naIwfcqU14vhMMMk8y4sxOo2oJ5rHViUkMXpkUcsJOjUopYIoI3ecHmWMRyXSO2ITJtARDhR4GTK+hBAYBSZWgUCTmjyD056j8ApbjYuECEVpzvrgiIkkQnmGQ8fZyCO1JKmiaxACaVTo8PKgFRBLrlxqgYX3NvuUDpRWIfrFe3xhOetZ7t7pstjRPPXMctif4lwRJlW4b4zkE88k/Bd/t8N/3feY5tM89vgtchezvLyOUT/G1//gt+j1+nQ6TYwx9M6GaC0RwIPNXbrHpxRFydJSh9FwzKA/4oknLpOkHRCCKIopy5KiKBh0T0nTRiVQ8aEwT6iZ1kBrw+rSCtY5BqO5MuyDxJ9JhAkhrgK/AqwRhr6/7L3/RSHEIvB/AY8B94Gf896fiCCh+UXgbwIj4Oe999/9YFb///84Ph3w5e++S/2HP8J6I0HmFlclhQUyzM/YGOsdpfNVML6ryCyJ1orCFpS2JBt5Tg6OuBdFREmCvnGZllDhCy8D9zzD++2PfyppcT6rcvHp/k/cufgWF+ghfyFrHzBGc/XyKj/yiafY2jvm4e4x/cGI195+wK/+q6/x7/7kizMyzIsawqwQR8eYYoiNcpSReCmDikpDMzXUGiY0JAoZ/PAuyJDLwpJnJXluGYwtw0nYs0oJtAKtQo6aqqyoUobH5NSbWm24n214+CFy002cEn4VWRYWi4r4E4hqnxsliFSYFYriQIYZI4kixfHxmNGooCzOY9bK0nE6gN2jnEZd0mwpao0S0nDCncqNpRC0GoInrirS2BFFA17aytGxJE6bOJ/QSDW9eoPh2SHjQZc8G1KWJd672THx1lMG3XF1DCdIpVHGECcJ3pU4a3HehhM2UyLQz1SFgkCGpXFSEZESGDPKcpybk2FzzDHHHHPMMccPLubjqQ8W3sPO8Sl/fPcen33mFq1EhzKqykXjfXX1KgTL7Ro7x33e2jnj9mWoJxFZXvDubhetY45O+zw8OsV21niw1WVj/YQrl1dxSIQUFNbzzrsPePKJqywuNFhcaLO63EFIUbW4B/FB9/iUNI1p1BM21ldZXV5CSEESm6DYKkvGowm5ksRJhDGKorAsrSxz+dIyS+3QQFjkBVZIrBYMB0PuP9ilZQqeutrh5TtHlKVFSsOgd8b/9L9/meV2ytNPXufo8ID797dpdjporSG+jO18lMXxV3HtnN1jaCaBWCqdIx8VpMqTRzWMjpAyjD0nQ8vkcExRuCrzy+GEQ2Lx1cS/rIZOSniMlESRQWqFkGEMasY2kF8qjGW89bP8Z6lD7rERIKTg+KSk8IJAETLLr44kdNqapbYijiT9oWWprRFK8e79EWVpEbgQO+OgKODgMOONN7p0moYnbi2gYlUp1ir3lQqfDx1LPv1cyn//n8X8ky/VmIz7XLtxhShp0G430FrxB1/5DXpnfYRU3Lp5hZX1NR5ubrO5uUPvzHLpyiqTcU6eZdjSsnl/l6efbRJFEUiPjhPai8uI0pJPCpSOggjClQgd8teEEDjnQ+HCxjUe7D6Yk2EfIP48irAS+M+9998VQjSB7wghvgT8PPBvvPf/WAjxD4F/CPxXwE8Ct6q/F4Ffqm7n+Ldga++YL7/0Lj/xqadpaIV15747JWWwAfrQLBGym6Z2RHcuv5ESYUusK5kMxxzvHnA/TanVUsylFZSSSOmRziNFFZBe5VuJ97NZwEUG6/35WH/imVWw/4xIe/Smkv+ep0vFScSPvPgsB8dn/OZXvsvO/gnD0YRX33oAeH4qL7h96yr1NMaJBkIuIuQRiDGFh0IIhFHUEkVaM0SJxiMpSk9eeEoPeeHIspLJ2JLnJaNxqFWWFQkWGYHWgQgLJE6Qy05tkWLG/FVqLcS56/GiLfLiAiFmMxdTW6SUwSsfmcrWSGg/0UZhKvvm3v6Q4cBRFn5GsOWFozso2d7P6DQ19YYkTiXGmCrDrCo2UIJ6Irm8KvjcCxOsPOJ+b5k4aqNMg06jzvLSGuNRn97pEUf7Dxic7pHnIy4WHHjvKas2S+8d2gSZuFQKWRFbDnt+rAlE3Pl+qg61kMRRNGvUlFIwmuSU9v1ysjnmmGOOOeaYY44fGMzHUx8C7u0eESnJ5z5yi0RLvKt0YdV1qaiu2zcWGmwd93hz+4ROTXMymOCEpigKvnf/iGFWokcQRTFvvLvNlcsr3LqRoI2iyAs2tw5otdt0Oo1q8je8fxgOhInie5t7KK15/iOPExlFGhmUkjgPWI/Sgv7whF5/xGPX1kmSmFs3r4GAJDKU1uGdpygz+r0zFjpN0lqdxx+7wvrqEp/+oef5b3/pt/j261sUXmGE4Oz0hP/1V3+fv/PTn0SWORuXL3Hr1mNVm6HHtZ/BlCesn77E8aDAjz3OeZQvyKVhEtVQOgqZX7ljcDqhd5QjMkusLYUCJ3woMsOjqGJmqq2XXlQlbxIvVDVh7tA6jMFKF55bWKB0GOlxsiLHhEBpSRRVBBXn4y4lPO1UsrKoadYUWguMERyeFHz8uTall9x/MAxxQnhKNC4bIcYl+3sj3nn9iHoqufb4Arqybl7Mg1ZSILXg089LCt/l//7mDsVonUa9TtJu8fTTz4K3vPPWKxhjWFqsYQuLtZY0jVlcatM7GyAQ3H72SWxZ8Mbrd7j7zl2u37iK957xeIJzAqljIiND7JGAvChASpTWeEKAvpYCKRyX1zbYOdidZ4Z9QPgziTDv/S6wW93vCyHeBC4DPwP8ePW0/w34KuHE/TPAr/gwWv6GEKIjhNio3meOfwvuPNjjq0bx11+4iZJVi0QFKQX4cDJ3BEtbaQOx40VVN0tgzL31WFcw7A/Z39olrdVIkyR4zKeqsOkX300lYheNf/7RsPtZINb7yLCpGmpKqHGBHDo/dYWXVA+4yk4ppaTVqvPjn3meg+MzfvcPX2UwzpjkJW/f3UXJl7BlyTO3LlNPPNI6RBlUXaPMYoUgaQQlWK2h0UZS5GBHDptb8tIzzh3jiSXLLNnEUjofCB0RGji1Cq0hSp6rwWYlAlMiS1zIA5tyVP7RfRBuqzvinByS0xOrEgglKCwMJz6shxJEsWLJBCJM4ti2JSNXkVE+cFST3HPcK9naHbO4oGg0FVEsUZWmWFRWSqEE9VhyaUXwmWd66Dv7HGQLxGmLJK0TRQaBYzwZsbd7mZ2H73BycJ/R4ITSluEYVmSYZZpV4JFKYYuCsixwLhxnP2MDK+8/5x8LN10fIYhMxDQfTkjJeJJTlOWfLjqcY4455phjjjnm+CuM+Xjqw8PbWwe004QXHr9CotWfSHMJrhvBeqfB/tmQeiK5utJhc7/L7lEXoQydZhuLxPV77G1p/uCbb1IUBc1axObDPcrCkkQK7xwWj/cChcRVlsR+b8DBYZdGs4m3DqHV+TX0NKrGQ+9syNt3H7K6soAUKUpJIqNAyJnrxDl49fX3uH37Bhvry9TrNZrNGlpJ/pP/4PP8N7/46zzcO8PJhMgPuPveDt9+7QF/52d/lMVOHWNMaIO3QSQwjp6hJrYYuz3O8hzhLcsbNeorLZzSFBayzNE/HXF075TJBNJGjCpLwFH6sJ1GTi2OQd3lEFgpcF4grEVKsFaQZS4owYSgKKrn2kCixdKjhccyzQQqSZMgWpgOMJQIqrVWItBScG/bctjzaOE4PHQ8/bjhCz/S4avAew+GeERIfIliRmPLyVnJ5uaAKJbU65rL11oIGRxA0/Ha9N+SCn7kuZKi2OIrb6aM0xrtxXUWlxb42Cde5Onbz1GvJSwuLvDGG69wePg7NJsFJ90ew+GYRqPGoD9AVuRo76zH5nv3iZMEVxZMznrYvKiGmgK8QGhDludhvKs0SsqZWMVoxbWNS2zubDMYjT74L88PGP5CGWFCiMeAjwHfBNYunIz3CFJfCCf1hxdetlUte+TELYT4+8Df/wuv8V9ROO95/b1tjFJ8/iOPoaTHuvM2wqltz9rwxfHeY134cwCVN9sLD9ZTZBm9kzO2NrdIainNWoRS9UeJMAnSnRM/U2UQUzdmhaAsDif52Zl7ant8RCJ13h85PaOcc0VTtiw8R0pJHEfcvL7O629v8mD3BCEEWV7w9r1djJHEquDJ6zHC7lIOhvSHJZNSENcMzbah0TIkqcIDWebJLPiJIytKxlnJZGJD+GLpZyc5KaiywSpr5KxJkxkJNrsPMzXcRULvEffnjEQMt1JM5bYEBZ4Q9IaOzZ2C97YLRhNPEitWlzRPXo9YbkcoWccWJTt2yGhkQzuKB2thmHkOuiW7OxMWFzVpXaGNRCjJ1JQoCAxnLRJcXfaMRie8sndKGa9TazZJkpjIaJyDRnOJRmuJneYCB9tv0z3aoShypAStJFpLSucpixxfCsosI89yyqLEOzfb7kdctVXAo7hwoSGEJDIRQsqQ24ZgNGFOhs0xxxxzzDHHHD/QmI+nPni8dG+bTqPOc9fXyAtblVydX4BKEVrdIy25t3/CPVeyddyj2Wjw5KVlEqNxHgaTDDnosXn3IUvthLXlJpOs5IWPPM7GShvvHGVhQUpio7FlwcOdQ+7f38Zax9VLSxgtcM7iXLh4ds5RlI7T0x4PHm6HyWbnZyql8DedhfcMBgMOD09Y31jh0vrybGLeIbh98xI//7M/zC/+ypfpDSYoXccXZ/ze11/nietr/PRf/yR4gS0n+MEObtBjc/M+xpRMkjqLK4qFJUNzsY71itJ5+kPL6f6Io+0heVYyGkHpNaIDqsqdVjqMQlRlZ5wOtHKrGDuDcZK4yr8SShJXWWPZxDEYBRVaEglkKmi6gpKC3IL2AhlrqArerPMIGZw8p33HP/2DMS/fdfRHHqOglXp+LjV87mMRP/ljC/zmv8m5vx/a6wsEpdDIsuCoZ0m3Jyy8c0ocSzYut9DqfLw3hXcgpOeHny1A3Oed/pPU64/hhSZNaviFRZLY4IXi9rOfQpuEL/3Or6Glp92qsX9wwt07D5FK0GzWyLOC/YMzknhETIkvC/R0DCdAKYkQBn/BGllpVGbRM0JINpZX2Ts8oD+ek2F/mfhzE2FCiAbwa8A/8N73Ln5wvPdeCPEXGt56738Z+OXqvedDY+8pred7d7eoGcWnn7yCF8FjPrU+Ku/RSmKdQwlB6VzV2gG4iuWR4YvlrSUbTzg5Oub+XUM9jbh9+zGkSM6/WAiQFyKupvbGStA1lanOuC/hZ+qoCyt+4b8X7zyyaRUCCTYYjHnp1bu89tYm+wcn1NOERmrIytCOOckK7j485JW3I5brmo46pBxlTAqIU0NnMaK5YEhqISDfOvDCE+cCPfI4X5AXjqL0FEV4T0U46QgCAaanarBqRmAmma5uw+qK820SUzn1OcE3oyln7lRfkV/TQyEoS3j7fsE3Xx2xe5ST5+E19VSztZ/wNz9bZ3UpQvomRVayV06Y5A7nwo9gUUB/4tg7KLhylNNsa6JEh/XwU+Xa9LBL8Jp6nLBUsxzanKIoUEojhURHCa32ApEx1NOUOElQSlFMerRbber1OoWF7kmXXr/HaDQizzLyvAgkmHNVm+l0P/kZKTilDasYtRkxapRGpjWUVGilGI4nZPk8RH+OOeaYY4455vjBw3w89eGgKC3fvfuAZi3i8kKbi7kmHrAOjntDdg6PcB4OeyNyDBuNFo0knkUFH5xmuMyyajSHu0c8//Q1nrvdodlIiaI4BONby3gwQjRSTKRZX18irSahF9p1pJTkRUFZljin0VpxdnrGe/e2kdLw3O2rtJspeEeRO5yzREZxdtbj6PiUd9/dJDKKpU7IDLPWhXbE0uOc4zOfuMXb93b5l7/7KllekJoGvd4pv/qvvsYkE9y+ucFnr70B5R0ORzneezoLDVa0RictVBrhEZSFZ5J5Hh5N2N+ZUI5t5RCxnPUVtRrIWog6mZJgyiiU0SgVTJKjkUc6ReElwodiNq3B2bDPpZIkdcjGjuHEzl4vJKBAa1lFAQWxh/dQWk9RCP7l1xxffTU4f5yzKKnYlYJf+72cp65qblyO+OkvrPDPvrjLg51JCHVWmtLD8bCgPfGcnFp27p9SjxVL6w2EInSIuSBK8T6IJ9JE8OlnQW/DqU4picnzPBQTiGnUTcStp55HSsGrL/0u6xtXGA9KXn39VYQsGA4neKDT0JydDciFoi4KhEoufFJD0Zu/MJC21mFUyE0LGgNPZCIWF5cpjg7J88l8HPWXhD8XESaEMIST9v/hvf8X1eL9qURXCLEBHFTLt4GrF15+pVo2x/8Lph/nvCj5zp0t2vWEpy8th6D2SqHllUR7ibVBeipFxV05P3MuegAZbHPOlkyGI7oHR9x5x4RGkMcvI+sJQlSH3ofgx4vWyNn/zRgwZkTQ9AspzuVg0ydeMEP682UXSTDvOer2+Nq3Xudrf/wmu/vdcCITnlYjZjgpyUuHkIJxXrC1d8ruviJaKHFFOHm2FyI6SzH1lsLEIc+rKDzOe0wMJlFILcMJvSoWCMRMRVABWlQzGEKcE2Fc2JRHUM3O+EBsuUeeVu0p4WfEV7j1leVSsH3sefntnK39nPGkpLSB5BpPSl5/x3F5RfKTn6lzaT3CFg2cdRx0c/I8WF+dg7yEwdhxcpSzshZRq1sUEpQPDZdMfygEZ6MGR8PLTNwitsgYHT6kpxKSRoeFTptmvY6pJxi1RKxvsdKKSbSktbhK6aB32kNu3mOcvYMYj0Plc6UAnDZrVruzCh8NvzNyaiv15+tDFaZvlMLUUtLYkESG08GQ8STHunlu2BxzzDHHHHPM8YOB+Xjqw8VRb8g33nrAZ2/fYK1dn7X0ldaxd3LG3lGXRppgooQkrXPQyxiOc7KyJDGaorT0RhPipIaxBcdb+3znlff4/I89T0uqqqTLg5C8/e5DVlaXuHFtjTROSNcTtBKhxMuDQnJyOqQoh6yuLLC81GFpqY3wHmM03guK0pLlI0aTknotoVavkQwzrl+7wtJCk9XVxRCeX1gKF+yG2WTCy6++xcn+Ds1E0C0VmYVIxmw+3Od//j9/jxd/6LM88TOnPLEOq0qx3R9RMzlpO8FpGcYSApwKuca3Hq9zvDtm9yhnPC5w1lKTXTZ3lrl+aZbyIwAAIABJREFUxVJLSsCjhEBqhdI6uD+ERCiHVmFMEMrdwjgV5xEyZCZrD0YLuqee3MHEhVB8WY23BJ5mXdKoK4wRFJnj3Ycx33hngI4SBoND+mddTBTRWVzn9Xsl33275MYVxdX1hJ/+/Dq/8eUjHu5NUGWJ95LcGTZ3MtZXJqy0PLv3uiSRoLFUB84FIdNIuSzTPDhc5Q9f2mPtxjGt9gJF4VDeI2QQJAghGPQHrK3f4PGf+Xtcv3IVZWJ293b44hd/na989UusLjcoRznCFRRCMfQeqS1KBfLL+QvGLEB6sM5isSitZi6w0nk6tZSnn3+a0WTEt9+5zzjLPvwv1V8x/HlaIwXwT4A3vff/44WHfgP4D4F/XN3++oXl/6kQ4p8SQh3P5n72vxiG44zv3NliqVVnpVkLmea+km8qhdYO6xxlRYbZiniYZZ/LIFOVBDJs3O9zuCt5U4HWguvXLyPrIFDgPcKLWbaTmJJflST1XCH1KPM8pbrO7ZDifcTYo8ox7+GsN+Sb33mL3//6a2xuH5AXBVoKkkjSSDRxHDEqoPQCE2nGhWH3OCbxUNOOdhMadU29rkhSiY7DOmsTzpxZCclYEcWBDJtmfE23Q0I4aVek1XlbJLOJIn9hfS+Kw6YkmKz2i6/206w1cabM8lU1r6QoYXPP8nA/IyssRWmr2Y1gMx2MSu4+yMh/qMZyR3HtaopwDqMGHHQL8tLNbJyI0H5SZB5XeDAeYcJy5yDLYe8o5c7BCrv9DoMyoihLRuOM8aSL7nXx5QaCFTQ5FEM6Nc3arWdIai2sD6H2uasR1XsktUWGgx5CTvdjOEtPZ0sCCSumjv4LBGn1Wa32ZLCiCpSU1GJFGoW2lmMxZDiehGKIOeaYY4455phjjr/CmI+nvj/YPj7hy6+XfOqJa9xcW2ScF+x1TznpD7i6usBKq07pBGmsORvlfHfzhM3DPgt1w9lwQm5hKTah8Cob8+6r79JopHzmxdssdNpIKcjzkoOjU7w0XL28glQy+FBEyIny3qOk5Kw34N6DPdqtBkpGIQ8sCmFYzobYmDy33H1vm8ceu0Sn1WB9bYnLl5aDI8gGW6X3cHh4TJym3Lm/y69+8Vu8dWcboQwSg0NSkiCk58qNZ1m9dI2JOcQ1Yw72BtRqhrRjwChUdeEuBGE8ZSRxrHjh4wv0un2KUqJjgfCWtp/Q7a1hTI9aPEEhkGraDBnK17TyKCMoPQhbZQc7j8KDqsaLYThLHIXML08ghLwHIyA1UK8pTCQxRtCoKQb3ajgyWvWEbldi0jb4EqVgksO9XTsrhruyFvMTn13i179yyN5BCUKB0ZRlyZvvjXDekWcWpeBxI4jraeV8CsfKlgnfu3+V3355iebGR2l01jk7PaTf7yF0QqPZJk1TtNKkscIIz5VLVzFRSuk8UdzkIx//cR7uHPDg3qvE2uBVjC9yrBAMckckbRWnU0XIVMfBEiKPiiwL0hQhsT7kXCfGYJ2jXqvxws3HeHPzIaeDuVXy/wv+PIqwzwB/F3hVCPFytewfEU7Y/0wI8QvAJvBz1WNfJFT93iHU/f69v9Q1/gHBztEZv/vyu/ytH/0oqZI4ZwP7IiVaK6y1IfDdupAlNlM+MbPyyUoZ5suSUa/HzkOH9A4tBdevX0IkEWiFdGKmjpqxOkzpr/eRYBdY64t4P53h3KOvmWQ5r755jz/61utsbh1ULLYHJ8hxtOsRnUabUtYpfGjNSFPDyUhj/JiFxGBSi9ShZSX8BcJPKEg8NK0gyyX9gaHXL5iMC2QR5LjiAvmlEEhfzWTMmg8DocQ0Q2C6D6Ysmpjpv2b7Ztq4KaYZWdW+mf47gxy293Oy3AYCCR989BVhGRRyBSe9gvWVGp2O+H/Ye7MgubL7zO93lrvlWlkLqlAAGkt3k72ym+yFIiWRlEjRokKakeSQZCs0YTn8ZDnC8osfZhxhh8N+9LPDD97G4XHMyPKMbIlaZiQOd7LVZC/sFY3GUiig9jWXm3c75/jh3MwCaU2ELFOiWr4fArWggETmvTdP5v8730IgHa0INu5N2T0sMNbRigTdSBJH0vvKhV/Twe+yWGOpjCKrYJyNmWQHTPMJRSUp0pwim+KqkPR4QmgPibQmjlt0eyt0+ktIIZlMM6wrfZuLbhPGfcIoRqUjpFZeFeYcCIezFus8yTW73HxQvpiTYbI+XkoIAinQWqKVIFRyHkxpnWUyLc7y4xo0aNCgQYMGDf5uopmnfkTYPx7x9bdvstiJOTgekpcFq4M+z15bp5cEOAe7J2OkiPjIxT7vbJ8SKkiiiMVeh34SeuGBdZCOefOVt9Fa8MSHHqKsKu5u7nAymnLtWuzfG1tvXZw5O4xxTKdTtrb2KIqKoqxIkoizbeP6fbSALMu4ffse3X6XhV4bqJVWQmLdzKqoeP/mPV55Z4NX3rzN7dvblNYhVclHX/g0N27eZGlpmfNr5/nYiz/N4d4Wr91MuLzmOE4ti6sd4laEAWZtYEqezYHOwUMXY37i0+u88t0jRqdTgsCh0oKMjP3TBS6vHhMEllgD2qGUoygtnViB8HZGrH+EEoeWfu4qECh8dlioHCqQc9HCTEwQSYdW1MoyMM5xd3OXPHOYMieJE3SYgDWUpcE5Qa99FnlzdFJxeT3i1352hf/lX2wyTA0OQdyO+fA1xZVzioWeRihBfjxGBQqhNBUJedXnz99f4Y9ejrn04RdZOXeB4WjI7v4Rx7t3KMuKVnfA+YtXuHZpneXVATqM0DqksobhaMLW3iFFZfjYi5/h9PSQrXs3SZJ4nu9dWq88i3UtKKhnzdmcKYQEqcmKAuckWmsG3YB2pPx5QrDQbvHE5Qu8cWuT0TT7ETyr/m7gL9Ma+XX+Yu4D4LN/wd93wH/0//F+NQDu7R3zv3/lNf79n/0xRJ5hjUVKh5ICrRRKWQJlvcqIOk/sAYgHGiVnyrDNjQohHGEQcGF9hSQOYO5DFiBk7QOUzJoJXS1VdQ/YI+cuODjLE6O2ytWWt5mazFSWd2/c5cvf+B43N7ZJs2xuV3TCIQ0EWrO8OCDqnMepFpWxSCxow8iMIdNEk4qlSUV3kJ1F8ktvQwRIrGChJ8mygHQakuclpigpHfXOzMwKWVf9urPGyFkGmgVPOP6AIowfIH4ePMaiJs5mBI8nwgRZ4RiOSoSwdYZYrSZTdeOj8MfKlJZAQ6AVoY5IIsGgr9nbyxieFkQSlnqS1ZWAdlehQ1Xnnfl7oqQjiSourZ3Qag85GG0xniqmU8Fk4simJcYocAn5yQpJ/zzLS5fpdoaEcspoapmMBacjR5oVoEKCqI0OYnSgqSqDNV5yKPDSZlfvSMEDbZH1YxI1szgrJpBS+IVb+AbJJIoYAGXdYJMVZROg36BBgwYNGjT4O4tmnvrRYphmfPnNm3zyw5eIZJt2HNFvhUh80ZipKu4eTnny4gKltRxPSlZ6LUKt6nBznwOcTjKKgyNef/ltQq1YWxsgleaFZx/l8qUVpPCFZU4IbBgAjr29Q27cvMfxMOXyQ+dpJyEC/x4YFEI40rQgm2a8+94dKgtJHP6AU8c/DuccJ8Mx33rtff7sm2/5SUB5VVoStvjlX/p10rxgcWmFykpubWwxzUpe2zjH+tKQp9cd37s14dmPhCgpsJa5Mkk8MPMoKbh2rcM4LfnONye0kwCkoa9GbA3b3D9a4pELQxAQqnou1BrnJMY4ysKS5T4UP1ACEuhUhkgZcNaXn4UaJ70arrQOI+oQfgHSlITah/fvHJTc3ZPgMvJSIoVBmBJjLKXVBIHikUuSUPuZ8/jEtzK++NE+Qhr+h9/ZJNDwEx+J+fjjbSJlWVhOcFKhIhCRZXya0epLQlWx3rvDr/3ME+jWMcfDlPEkZ7izweHOLaoiZ7MImJzu8OTDv0IQRqACjDFUVcl4MmE8mWCNod3p8NwLnyYMDMeHBxSlJTQjTFHhgg6FEwhn0TiE0HORhXTewWWdRQrBYicmCWStVakjjSz02h2uXTjHrft7DRn2V8T/q9bIBn/z2Do44Z99+RV+9dPPIosCW/lWESkFWkkqpQhsrTZytYLLiblXb2bd8ySVJUtTbt/cxFjHiz/2LBfPLxNHAUoJcLVPXAqEXxnrlW2eDAWcZUPVBkivoHK1ba62/oH/O0VZcv39Tf74S9/h7Rt3maQzEmzG/tcEEZY4SVhdW0PHKxgH2XRKMZ1Q5TGpiDma5tw/LIk7GUEyQgUG6a35KO0IQmglMOhJpmlIlpaYLMcZ61VgwrPonuiqJbwC5Cxw33lyzH4f4VWH5NcvDjML6Qyi/uHMFinxpI8QgoOTirLyRF2gfY5AVVkEvqEx0NBrQTeRBAqiQBBpL33ttCTnFjXZuMSVhjgW9BcDopb2LxJ1DTEze6d29GPodi0XKSgyx2RYkU4qsqmjLGr1XXlK1Dqg1b2JlIJpphifBpTHXcajVSZpl8oalA4JwwQdhATGAFCWlfff1sq32bkWs+Pij8T8hXRGis3kvjMbrZSSKAxZ6nWoKsPJOCUvqib4sUGDBg0aNGjQoMFfC/ZOR4yzgucfv4yzdq7GKaqK3dMJ1gmyoiLPM4ZpSa8VsRzqeiPbR8k4a7l3eMpVrXn9lesMPvs8zz51jXYrJo59CLrPAzshiWM67YS11WUWeh2MsbTbMVJKqrIirwmzOApxznB/Zx+E5mMffYz11QHUFj6EILSKPMt578YGv/uHL/G1P38Xh5+hisoTKaGEr33p/+STn/oF7mzcJy8qRllF3Fmkmlj++TdX+cf7OZWN+Aeu4Mc/FmADiXE+OgaYz3tejSV5+okFTFaxvTVCKoejYrVzyPWjayxM2jy0vE/JbH7yA5TEoQNJK4Ass4xTi9QSGQgSCQiFCiU4MMarx9LMk2ZlKAgDQZBbit0Rk2nFzqlgZ7cgcimF6FNaiZDBXAix0slY7SeMRjnb91JGp5bLFyKiAD7x3CJFbnjztQOeWA/pdzUrSyFBW+GsRChHWXjXpjZT8sl9VqOCJ64MMcXLcA5+6knJ8KkStGF/rLm/1WdwYQnduUfmFplWiv2TEWHY4v7OLnlh8NI6aHUXWT73MJsb93AOBivnON7bIzcVIJHKoZT4foZ85tKqLINWSBQosBVWOqzTCOvn7ryyrC8OWF8+xzt373Jv95Cqntka/OXQEGEfAGzuHfOdm1s89/A6wuVgjCcdakJMKYmu5ZZOnFESjjNGwiu+/K+yyLlzexOpFTz/NBfXlohCDdrTPxKJk7JeDQXzEhon6mys+tsZXeTqjDLncLOgMgejScYb79zmay+9ydvXNxhPprXyZ5Y/JlBKoGv2v9Pp0u8vIOIeTkRE7YrJ6Qn5ROEqTWYLDiYV8UFBFAWcC45RukIK/0iVhiAQtBPodyXjbkA+UtjcoIRESzUn8XC18A03r/51zuetzQidH1R/zb75/mz92jYpvCpM1eqncWq5veVbPUItcc4ihcRovzAqAXHoeHhdMehpT9Ip4dsdlSBUgjgQtBOJrbPCoo5GRQqh1byqWPgUf3+mlUBpiSjBFgblLCKvcNMKUfkdmX63otVJiToBKlCUFgIco5Fir1zFFg9jijbgCKPIvzjbcv7AjbFgjW93wfqWFevqq83n0s0j4+rzPA+DdGflCQJBGAQs9jqAYzjJmBbl91tqGzRo0KBBgwYNGjT4IaAoDd949w7dJOSTj1zAWctwWrB9PCY3gkg5Xr+9xf4wQ6iI/eGUThTQqiVPlTHsD8cYp3BVRXZwyDe+8SZJEvHwlbV6bhAgFft7J5yOcz72zKOEgSKqWySFkFjrCCPNcJKxvbPP5UurtJKYpx6/hhRe6GAdGGMpyorRcEzcijk4POWf/v63+PK33mSaFQjps8gQipWlAa4csvfm7/Ev92/yyHN/n8HSOlJHTDKNtAWYZWyUEoeaV+51uHr1mPXlfYS084id2Xzp8K6OJFE8+9ElhLJs3BoyHVVUxSmr8ZCt00cQLuXSaupzlB1EOEwgUfWckiQKR0lhwQpJUW+Yi5lFUjmUliQtgSktk7EhryS5k4SBJg4iZB6S5VvgClrqCKciCqVx1lAVU64sCYpxzPW3plgZcvlKwsWLEVIJlHP8xHOLtLGMDsfoKy2ClkTEAltYhPapamHg7ULdDnR7ESLUyE4IlcWNM1ya0V4QXF11dMstzi3/Li7SDA8lSbdHudLlaLTK/v2HuJOdx+FjjbZ2diiLnFYrYTQacXCcIYIOzmQoYSkJAZDWIYXzVtpaZGBMyeHRiKXFRaJA44oCJRUCRVkZ0ryCUGGc4dLSCp0o4b17WxRl+SN7jn3Q0BBhHwDkRcnLb99maaHN1aW+JyNqMsyrwyRaWWYB997iWBNhtY9RQG2TFFgcpqzYuLVJGIVo9ThrKwvg/OUwa1URtXRr1iPpZr7IOWbqr9n+gZtnbI3GU1554yZfe+lNbt7ZZjjJ6iYOT7BJ5QPlAy1oJSFraw+xfuERFhZXMSKmcgFhBIEOmASKYhLg7ISsLDgehewfaZLYoYNTpCxBOIRwSCXQASSRpNtSTFuaMqsQTqOlhpowrCwEdbaaBB/cKIUnbOrvrTtT080e70zVNFOBzcR3M+pM1rsTu0cVBycVQlhC7XMFxIx0A7SCpS5cWFE+xGz28ql85hlSolRdOWyd/zqWyLqe2FlvC3V1YD+BREQajAMMUlZEkaUMHcXEYo3DSeVtsvVHIQWRViwOBFdsSWG2yEvFNLuIcNCKA6okpiozjDFYV/v464PiQ/Stv0VTqxLrCDQxU9c5h5l/Pbs+6yMoaptkty4dmMA0L5sA/QYNGjRo0KBBgwY/dJxOcv70e7dYW1vmyaU2HQfn+m3SouL97QPGuSGKEpCaVqgBb9vLioLj8ZRJblnoJoRKoqzh5N4WL72U0EoiLq4HaO1D2fcOTpjkhmmWo3WCkqp+Dy+w1s9wpjK8//4mvW6HVhIjBL4pUHiLn5ACIRW3N7bZ3Dniqy+9zetv3SbQmkKWlJVFRzGtOEYKh056HNgen3z8Uzz/wo8xHo0ZphlKK8Y4rLWcu9ghYozqnOPWuEc7/jMGnV3MA86X2WeHQCtfVPbkE0ts3ZtQZCm2cujyJkI4bo4WSLRheTn3ogRZ7/bXsyfOEQT+/b+UZyVmCkeAw2of4yOkQIeKaWbJS4cVEiMEQQDHpzlllQMSV5VolaFwWCwTA6FeAJ1w+UrMykDTW9Ce7AJAEncETz+9yPV34PS44Nx57YsCnIPI+brMsoJA+jk1inFx5JVXSFAhg6UKrKWcVAzaoJyjmEKZTog7Oe1wggz2ee7SIZM8Ym+yxGg8Ih2fstQrEVcXePe9nCwrCENJHPsIH1GmWCKmKKQ1tRmrPgsyoLQ5J8eHDBYGSCGYDsc4ITFOEGhFYXyjmhSCfqfD1fPnubO9Td6QYX8pNETYBwTHwwlfeeU6yz/9PJ0k8WyxsQjj/cNIicPVrRv1ogLMk+BhTvV7KTCUWcGtGxtEUUgUfoilhR5SCqysSR6n5mowz4nVstkHPORnCh/mJNgkzXntrdt85dtvcmtjh+Fo6skNoer/X9Q5Z4IwkKyeW+eRx19k+eIThGFCUVYII9FIAh2glCINAqo0pKqGjKaSgxNBO1oiig1CTFC68mq0+o5ICXGgaMUB07jCmQAhAqx1VJWhKC1agawcofWyVKQ/brZWLv1gkMNM4TTzBjrxoA3Q1VlY3jI4nhqywoIzhNr/m6Jek7R0JNpyfiBxyjGZVuSZQavaVjkL1/KbPEjn6lB/ia3qlybnasJMIAOJjPQ8pE1K59VxIYSxIIgklfFNANY6jLGYytcuS22JA8n6QKEwBHobu6nZM11kqGiphKpKMabCGIOU+HIGBHXHsb/GlIA6/FHWfKmZvdrZWb7aTEPoCVonBEop2nE8D9gHSLOysUk2aNCgQYMGDRo0+KHjcDjhd776Ov/w51/AIdg5GXNr55DcCB4+f444DHyoeS06AEegFP1WzEIrIQ4VoRbeEVEW3HvvNt+IAp595mGUVOztH3J/+5DLD62jlaydM67OUBY4Z8mLitsb98nyAuds/XNw1vpKRepZrax49c2b/MGfvUppNYtLa+zs3KOsoNft4coJPTmiEy9yagY8/6mf41M/9XMkSYtOp010fIqQKXHcJllfI09PONy+QXfxIltDGO2v8pnHD2h1K0w9Qz6oAvDlVpCmJUkkWVyK0UpwclKis01GKDb3IlqRoderCBwo5cg5y65WGMI4YGY2EtbPBEpatFLYWcGbcGhhcU7h7JnTZDgcY6wjUAZrBFkl6/ZMH+kjtWRjp8KRU1S+ebFTaXTdOulLCByXrix4ZVwvglhC6EBLqBx1Rg1Chv5rP6j4WUdLiCLMOEU7i0sUKE0gBSuXY6wMSE+80u9Cf4ePXfgev/fyNba2MwZdzS8+V7K967h1y6FaIUEQMJ5ktNuKYjRBWkElW+AEoXDUfWgorSHpkE1HHBwfszwYILXGGEeoFVIqZp1uXsEnWVnoEWjJuxubjU3yL4GGCPsAYWvvhG++cZOf+8TT9YJZ2yEdgPVPHDsvJZwrmeYtFPhFdUZkOQf5eMrN927T6SQ88/gVAt3FGokUtXfwAVXZDP/Plj9Rk3CO6bTgzet3+dI3vsfNO9uMxlMfpi414BsDlQBVkz7tdpsLVx5n6cITBO1lpKsQViKdxaGQKqAjNVIpplpTpZKsPOVoZGkFMUm8iFIFQQhCGEzlMJXDVoD1ZFsUapyNsDbAOIHBUpYFWV4ihcVWjjgALUA5QVH71WfHy78euLnyy84fdf1Z1LXD0hEInzEWh14hVlkIlCMWEGt/pALp6CSCXkdinWM8rTgZVlQW2pUiCs9yxkQdoukQlJWgLBxKV/M+A90JkGFNgtmZ39NniEkt0IEgiARV5aVa0jm/w2EtAotwAikd3UQQak03rugke7y9aRilAXqxjWTK+0VBUZTeAimcJ1sRda+Av06k9L7TuerMgXD+FfTMmnv26urzxHzxQzeO0bMMN1ImWdm0STZo0KBBgwYNGjT4oWN774j/6ne/xk88fpnT8ZRpJVlbWWapG86JhZs7x5QmZLETE2rls5oQBFr6AjPlKKqSk6NTbrxxA4BnP/IwnU6Hjz2zxJVLKyRxSFVV5IXF2gCtJUdHp7xz/Q6HRyMeuXaRlcUuOEtlPLmjrSVNc4aTKX/65Vf4/T99layCz3zu7/Hn3/oS1oWsrS76WSHPONfvsDkUfObzn+dz/9Yv02p1wJVEUcj6hQ4LiyUWydbuHrv7+wStJYxV3L93F5N1UdWAn31xHxUIKuNnldncV5SW+/dSdjdOyFPD8UHOYDEiamlwBityJmKVvXGXXucAdE5bOWJZURlLmVtkK/DxKg5M5QdVJb0RKXAWAomxjiKrEM7SCnXdPu9jVXpthxSQF4JQVcTKu1HSzBFFIecW/TnbPzGURcbOvmRxELAwCFjqKTqxYG+/YJRaPvp0i70bI0oBS4sBKtHorkLEEUKHXhWmgEL6HfrAzzjT04q43+Jg84RsnHLpoRbiXIcyD5kOBRhAOEJpeGz1Jo8vp1zfuICQYJ3m1z8Hu7sx/9e3BEcnKdY4jJIk/SXGoxRrKjQWQ4hwJaGSSClRUiLokk9OOT45YWFhQKADnFBzB46az+u+mXOp1+UTT36Yb731bi2EaPBvQkOEfcDw3bduszzo8fHHrsyJmNzl9Ve1TdH65+P3a5rEA1yWJyMknkgbn47ZuLXB+ZUBnVaC1mpOorn5Wujmtyfm9sAzGGMZT6a8fWOTf/WVV3n/9jbDcYp1DikVUmn/hBbUrL+AOpRd6gQrQr/4Cu+tN/MGQoUKFImQCCnJJJQTy7go2Tkq0DIEenR7pygFzhiyFLIp5KlhOq2QxMigjSVA2rodhoKsmkCe+/rfSBIEkqBWdRXOURqHnRFfbia4eoDKcQ5kbXWUEEq/fjrhONeT9NqK4RQqawlU7YeXoIUlCi3tRBIFgtzA8diQVTDNHZ1EEYfePimFt2tOC8tpKilz6EaOhbal1VUEsfbHzOEXbnzrp9CuDqZUBJHfZbKlRUmHEj6vTCmH0g6hLEJJdCyIEkm7ndFrHXN9s81pGvLYlQXyPONWnnmSsSb+ZjyVq6WBsx2dmX1ylgsmmBUp+LspHwjQdwgkEqUlHSlRdQmAIGWSFY0yrEGDBg0aNGjQoMEPHfvDlG9cv8dPPnGNBSeJlZ9RAIy1ZHlBZmDQ9iH4Z7nA0sua8Bvum/unPBwE3HrnNouLC3zihQ8zWOiglAYhCJRmeHjCyemEcysLLAz6vPDcEzhrSeIQKSVFaSiLgnFZ0mrFjKYZ/+M/+WP++MuvIQXESZsv/cvfI89zzp/3SrMsHVMFS7y7N8QVB6THNymLKWWcUEynFNmUdrdPVRl2Dw84Ph0St/v0OmsEIqdsx+wPc7793hILySk/9pEcqSQ4/z59OnVs3huxefvY53k5Sz6tKMuQMGlxb2wpWossLbYJw4C9rMu1hQ0QGdJYAiexgUZbQWXBVZYyc2S5Lw6jLQikoyVyCmupckc7DkhiicLPLUVluLqmOD8w3N2GrFK+JMx60cKjqwEPrQYo5aNkhhNLNi0ZjQoOTiKO+5pODBv3c/IKlrZz/tkfHfD+RsmvfrrHclRx6dE+q08tIUJVs2/qTM6GAA239w1SOJbbbdKjgqobYSaKfCJmQyGyVk8EyvALL2yzfZzw7feX+ZPvrXJ5dcpv/VpFZXO+fWOV/cMRJydj8sKBCqAqcCqkcg4nNMHccSRQSiPCNlkxJp2MqKyj1xuggwDwd1XC3A0mEUil+fxzT/Knr7xNUTXKsH8TGiLsA4hvvHKdfqfFE5dWPaFgHY4SnPHyWsmMD+MHDX6zVr865QpZ1/ceH59yeHzKQxfPEc9slcCDurK/CEIIjLWzLrjqAAAgAElEQVScjlLefHeDr7/0Fu/dus9wnGKM9UGOShMEAVoprwxyDmsqrHVMJil7O/dYXr1HGAS04mDujTbWIoVFSI1QAUHYAmdxtqSoJpykI+RugS00g0FIHBsEliKzjIcVo2FOUYaE0QJSt7FOIq3ASlAUGAe5NaRZRRxaulqipUALgXaCQkBloHICg1fOzuyfM15QOL+rEUpBpH2FsLOw0pc8eTlimGZMMv9YtHRoBQux5fySYnlB0WspkIq0cJTOkleQF5ZWKAgUlNZyMIS7O46dQ8k0FawPDJ94RnJtPaizBPyaTX1svaVSIgKFCh1BqPz1oAXCOZQWKO0VZVKCUAIv2BOowFcXf0hPiVTJm7cjDtMBT1zrUxQpd+6VTPMZheUXXcQZMTojwVytIpwJ1eyDBCKeDJt94+ovpVIkUcxib3blOSZZQcOFNWjQoEGDBg0aNPhh43CUcnv/lI8/etHPU86RlRVHo5TCWAatAF2TY9ZZBAJjKp/8YS2HwwlSSKZZgTk54fr797h4cYWFhS5C+GxdIX1EycuvXOdTP/4Mg36bMAwJtPS3Z71TRijFrfc3qazjS197nS/+2StUxse3TA4OieMui4NFFlcusDBY4v13XmEyThlPJiwkipde+ibrl57gxU//ElEUM52MyPZ3aS2s0RssYWVAkWdcvbjKxt27TKuYqHWOsih4606PC4t3uXgpwQlJXkQcnC6xteuoqlMqUxC3FeuXuxjRZnu0wM7piMcf6rN0bhFXVVgnGJmHGQQblHJCZb2gwEcZO3QiabUEeeE4PCoY5xDGCmH8QKUTSSh9LligvCDLWEcSCf6dz/f5k28PubNVUJaeSLu6pPnEMx1asaIqHdPSZzG3I8BU5Lnh5EhgKsdkIsit5V9/94Cvvp5xNHIM0xP+0W+usvDwIrITMxeUYKgTpD0cTFLD0dBw5eNddKw4OoCqtESh8POU8NlDyvkM5zAq+Y2fvMs4S3hrq8//8a11Xrgy5N/7ewnnX+3yxW/EjEZTlDREYUJehJjpEAU4FZHZgEj4iJ2yskgV0O0v0o4UZTZhMjombvcJw2je+HmWZe3n07yEa+dXubm1S9nYJP9CNETYBxCTacbXX3mXbjvm4XOLPpvJTnB1RhN1MLvkrPnQzbKcmDkdPdklan2XtXV+k5RzN+RZTD5ztvsskB9mprjhKOWVN27yzZff4cat+wxHKVXp636VlIRBSBxFKKmw1mCqai4nyrIpd+/cIAg0zpSsrq7TabfRUpNV4KrKh8IjcEIiVEgQt6nymCI1nOYpIivIhiXtpEQFOUVRMEkteRUTJguEUQ9kgLWAEWjh0K6ksg5T5qRFRTi1BNrSVoJA1RlbAkoJpfVkWGn8gjxbSmbRWKEUhApCJdDSWxN7Cp57RKNVxK37OWkGsbb0E8FyX7HUD2i3FToOEFLinKCsfFNIZRxZ7nzY5onhxqbk5obl8LQAHI8/EvF80iNMtCeyNGcJ//UnIUGGCh1DWPkdLltZnLHoQM7DOP3O1tm/EUg00Go5Lp4rGI9zju4IorjDUw93yLOMe7vGXwP1bokQoi5imOWASV+sMKPL6vs2D8qfE3YC4c6IMOd8DloUhvQ7bWxt/03zJvCxQYMGDRo0aNCgwQ8Xxhje3tgCLM9fu4gQYp7ltTboMWhHNSFj5y4Fp7yC62iccjTOSUJNbko6/SWU1rx3e4/11UXOrSwwe2++t3dAnhek05yFXnsetyK1oir9+2pj4bXv3eDr37nO/e1DijzHOMF0aui0WnQ7Cc6WjE8PGR7vk05zeoM1qjInKydE5YStN36Hw2uXWL38AscnJ1hjMATkLmBrZ5fVpT7D4Yg7d++BLVEy4fzKAo+ey9gblfSGGWEccJI/SqXWOHfpIQ62XmW8/x5lVdJeWOe4XCMbZjzy2BrXHr5EoDV5UZClGVO6qOo8HXWbUhg/Jwm/6S7qNsm45cAFDEcVTkoK6UP5AyEIpSMMJVEiCAOBFHBwUPDohYBLv7jEO7czdvZzQLA8COh3Q4QQRAhy6TgdG68ESRTKWKy1FEawf5TxyntDbmwajlJNHFY89ZEB115YJV6MfLCxcHWGUAWFgCAAB6d7GXs7Oe2Op00Gay0OdwoOj3I6LUUYSELlhQZCOpRzKFmx3iv51Rdv89LdK+Sl5I9evcpJVvGF57a5eeuYjQ2JIyDPK4xxxElMPh4idURZGSqTz8Pz+3FIJw4IlSDUCp0OSdMhUvSRYVS7qOpGzno+FUjWFhdBSG5u7VBW1d/8E+xvORoi7AMI52B7/4QvvfQWC597gUG3Q1mUWOuwrgLsPMjecWZVg1rBM0O9CAspSNptOr0OTkjvOYYzUk0yX7DP/HCeBBtPMr77vZt86euvs3Fvn/FkSlkanHNopYjCiFYrIQxCnLVUzs6JJJyXsY5GI9556zUm4xOuPfwYly5do7ewghIhpZU444kQ6yzGeIWQ0jFGSVyRk6VTRDEln6QQOiqRoHSPuNsjDFtIHWCMQziBkAAWaXOUKXA2oMxhkhm09ISRSrxUV+MIJBi8pLc0UFq/c+Mtfj7PUimvBNMSH3gvHEoKWpFi0BV85LIky+08Gy0KJFpLrFRkTlLWuW4WqCpHUTqOq4rj04Jbdx3XNxz7Jzk4y4X1iCefjrl4MSJMFCLgLGXenRUkOOHPm46Zq8BMKbGlb9YU+kHyqrak1r8FoDQkbcHF846D0RHv3hcs9iI+8khEUaZs74MVPhduttvlrK2z8Z1vuqkvGSFrn31NnDlXWyLF7BpknismAa0UrTjC4YP9S+N3Qxo0aNCgQYMGDRo0+GEiKwpev3mPREs+evUi7SgkDr3tTEtZb946sqxASomUDq0l/XaCUoqDdMrypTX6gwFVZRn0WiRxiKlKjo5H3L23y507W6ycW6LfSRBYjKmjQoCqNFTG8Oqb7/PFL73KcDRBKd8seHQyodfpIpVmmmW0k4Tjw12sDOn1lzk52saZAoRiahXv3D7h/v/2P/HZn3MYAs5fvESeTRhlFePRKa1AkE3GVJXxsSbO0o5ybDCg0ktsngrCTKJ0j8oJVLhAvPAMBwdT2j1YuPgCiyLioUcq2pHGIinKCoTPs8rzFDvZYpQf0lns4NB+pookIvIKuMo6TCIoc0GofRSMEj4+JgwESSzQkSRQEGhJEgi29wqeeqrLtUsJo7Fh76ji8KT0ETrax6qYGHCO8dgQhhKjNRLH/f0JL799ws0tx+lU0kkq/uPfPM9v/oMLDAYBws4zhXzMjBO4vCC7N2b3oGJ7z6IRXFoLiBMvIBksa6rCcrhb0G0pROgdRVJYtDAIW2Eqy4fW93n0SYMlYPCVx9jYjTi/uM1v/0rA8SjmK98ZMYssKmyAjfoYB7bM0WGEk4qutrQjRaAEWmufoS16VPaUdDJEygEyDObR3vM0IwFhoLmwvMjxaMLu8fHf+HPrbzsaIuwDCucct+/t8cWvvsav/MyLtDotjKl3KwRgXE04UAebn5FhCJ/R5QPgJXErYvXCeQaLC0gpPYHmZryFQ7qzTKcHLZJ5XvLmuxt86euvc2dzj3Sa+4UVUEoRRSGtVkIURl76iwXnGw9r/55vSMSSlyW3b93g6GCLg+2bXHvkcZbXriKCLpVTOFNhTYEpc0yZYvMJWkeEnUVCMUWonFILZBATBy10mKCUD2esrMVJh3F4ma6oQNo6wN8rlqZZhXReaquERseglSOUnlSyDkrjCbHKnlnHpY8084t4bX0MalJMKkGnrTm/omu1lb8dYwSVEaSFYJQJ8tJRGJhWjspYxlnF/nHG7buGm5uOg9MKJS2XLkZ8/qd6/PQnOiytBIiZgdzygKyrPsUS/E6TQCQaoSyqMJig5jJlfSpnn2G+aNYxbYSJZGlF8gSQFvvs7EdcOqfBab5dlewe+l2zudpQeDLMX5/+toX02W7+YHHmjZzng82+8x+c8G8MAqVoJxHWGvKq4ng8xc79+g0aNGjQoEGDBg0a/HBgrOWl9+6idcBHLp9HWzt30vjZQJDmBUep4epKByUEeVmyPZpw9UNX+ZnPvsgzTz2CMT7ry1gLQtLvdzhfGVaWFjh/boE4CigrQ1GWlKUkDAPGk5R/8Qdf43/9519lOM4JtEa4gpPhhOXBIsZaRqMh1x7+MKfHBxydjuj3FtnbuomOezz89Kc42rnJ8OAeGwcl7L5BP/jveeLFv899B7t7e3z8+ee5sNRla2+XQCukBFtZpsf3uX7zNaS9xOKgS2lbdFyAkAUgkFJiCXnzJnzqMx8nancJjKUVhUghmBZV/V5fcHy0xWp0G+Q+mTToMkUnbayVdAKHDAVWCqaZQZiKbluRhBIh6yI1CZGGTgiuVlnp2j46zS0SQb8bsLQQcGHNkaWGshTsDQXj1JFlljxXTKcWhxcX3L4/4uU3jtncF5xOHSuLgv/sty7y7/7GBcJYelumkz56J/NuJmIFSUx0LmRRl6iW5cM9xcJagFSA8XlgK8sBJrdMTkt07YZRGKQ0WGMxQUBrvQ1BBVXJr3zmbf71txdRcsLDFxX/5X8Q8V9HXfani2xubLG3dwRCIl3uFQnWoDBMXUxsLHGAd1sJgQwjoqRLNTllMj5G12pEYK4im+kNQil5+tplWvckd3YPaaapMzRE2Acc12/f50++/RZf+PjTdI0B6yt4nbNYd9Z6KMT32yRndjahJf3lRdYvrhInCUKKOnRvZpqc2dZmqiH//zoHewcnvPHOHXb2jqkqTyJJKZBSEWhFFAWEQYhS2v9767yPT3m5phTG30frvZbGwclwzLvX32F4usfVa7usXniEuL2MRVGWBaaYUpUpeTpkMjxhsWUJej2kEiit0UGACgJU4K1/lbFYPNFfWYdxFuMcxvnaY2tMTd44ssIgxWxnQtGJQGtHva4QOXzrpAPrvDJsln2lVN3iKCHQEGiBCgRKC7Sufy6oswWgKNy8RhgklQNjDaNpxfZBxvt3LBtbjuNRiRSOhy5G/MLnB/z0J7ucP+dbZ7yMbO5p9LsY4oEqAyF9dlittPLnzWJnkj/pLw4na5K0vlaQIKUEI0hix9pKwMeegDevZwxPK66eDynKipffduwdgS1rm6OQ/u7ME8PEXGnmr0nmhOpsgfY2XOfVyA9ea/hduG4roTK+SWeU5k14foMGDRo0aNCgQYMfOipj+d7t+5xf7LPcSVC1Ecbi3+/nZUmaG4yFylbsTzKS5XOcX1/jEy8+RVSryN69fpv7O0c889Q1gkBzfm3Zb5IrSWn8jEFp2Ly/z/r5FaZZxZe/9Q55XlCVOWWRg4O1lRXiOKIsK6IwYH93i3E6JWm1mE4OcdaQdFfY3brL6PgAgSK3jrUObG3dYvSNP2B58RyVK9lZH3Dt2pOMxxOmRcGV9SXS0TEHeczBfsTOzgHZNGOw0CXvdwi0QgiJ1Iq7d7c4PjxidDpi0O/Om+39rFHHnRRH9Hif6XAfU7//H+aGQTAlCls4K4hMSV465LREa00SakINpbG4mTXGCZQxRAiKyjGZVBwfFyx0A5JQEmjvvmlHimgQ4pRkLRWcDA37ByWj0xKpYFoYNu6NePmdIfcPYJw7rl6K+M//k4f4pV9aQ0SAEf63HzrIjGV0WLC0FqJihUgkvYuKHvgZSzl80LRAaJAYFpcC8swyneS0pXc+WQG0I6JLPYQSUPqBPNZTfvzpuxwcWtZXBFfWNf/wNxT/7RctW/d8G2kch5RlRD5NEdkJrSigFBHHBShp6CjtXTQWjND0u33SyZB0fEKnu4CSGstZwtlMqxBJweryCvf2Tyhtkxc2Q0OE/RXxYGvejxLOwWtv32Kh1+GTjz1EH4s79WRYZUUdpO8xyyd3M+WPksgoptvv0et20Fojax/kzFIp5l/XeVKzsH1nSacZRVnWjRYSYyVBTbIppVFSo5RG66A+VmeLJoDBIgz1bXv6xDpJVlg27+8ymYw5Pdln9eKH6C6soZT3QFsHR6OMu3d36YcFD19c5Nxin1hqSuNwWMqauPPZZ8pne1m/cFTWYazBmBxrS3AW4RyVdUxzV4ceOpRQqDq0UWt3dh/rvCtjwVgxVyoFqva4BxCEgiD0RJiSfpdD1syPlgJhLaV2aOntqrmxnKQlm7s5Nzccd7cdJ6MKJRwffjjml74w4FOf7LI8CNAzBm12Mp04W+lkfbbF7Hz75EZZ7ws4B66sLYpCwKzB8/vyxTzJJoUDLUhakgtrEiUE799yHJ8UPPZQRFk6vnvdsnfks9OYtUbaM6ulm2eDzbS67izOTJzd1xn59SCEEARaM+i25xbMcUOGNWjQoEGDBg0aNPhrwPE45U+++zafe+bDnF/oYK0lKytOJlNOJiWdOEJLgdSa1UGPoQ5ZWOj497/Ob/SOx2Pu3D/hkWsXWegF9XtyiXVynj8mVcDrb91CqoBL68t84bMv8N/9412UUuAEcRgxzQu0VkipGE0mDIdDBguLdDpdhOgwHg8Zn2xjjEEFEe3+edxoyNAUHB5kPFS8TXf6Or1Bmz/6g4xf/fXf4unHHwUVEEeSl771db73xquobIeIiGk6JZvmpGlGnERM84rh6Sl3bt+n2+/RasVYa5HSWxElDlvllKNN0sM3ydIDpLOYei4pjC8A6wcVCys9JpWfq5JWTKun5kKDaSGYpJYyt5QSjFDY0lIWhuGootcJWV4OaCd+Pik9M3kWR2MN0lScnmaMM4N1juu3T3n1+oTtY8m0sDzzeJt/9NsP8bmfWZ67Zn7AqoIB3ryR8WyoGKzJs9gYCWgHUnvVBv7PbCA5GhW0+hojCw6OpiwtBERLLaLzHURcE22qvg3haLcsplLsbE1Y6AUstA2/+PGcrbsZRd4inRbkeYlQGhe0GJcFUlmsKRiisEi09DOoEAKpA/rdHmk6ZjoZojp9gkDPRTBC+PzpSWEQKmCw0Gfv6Ohv8in1txoNEfZXgKithVL6xpAf9VxelBV//vp1olDxyQ9dYFk4Do8npIXBIObKsJnkR4gzMsyTFRJna4ICr+wRtUVNCOGbMB7MFkOgtWJp0OWRK2scHg3ZOzghneYYY2s9kEArr8pSUnmpp1T14gk+x8yA840qzp5ZOS0CWwkOjsdk+bsMh0dceOgxllYuI4KE8TRna+eIe9sHHMoSUxVYU7G80CMMI6TSSCV93axU9W3W2VSmxFYZpkypyhRrS4Sb3WdHaRzptPKWRwFKKoLQk1s6ZJ6jZZ0nfIwF4232ngTT/u8FEQSBRCmBFK7+7Y+dc8zbM0srSAvH4cSwsZNz45Zja9dxPKqIQnj28Rb/9s8P+MSLPXpd7Qkt+4B8irqywIna316TWzifEzaLsFe++EA6cMJ5FV59Dbia3JynKwII64lSFMIJEgnr531w5fu3BPuHGU9cjSgNvPZeyf6x+75CBiGEzw0T/voTsr7onPMKNM7u+9mV5a+bmZpM1vLfMApRgx5CCLbdKeNp/iN/zjVo0KBBgwYNGjT4u4fjccp3b23yU089QkvreiZSLPfb9FsRgRJY50ikwLiK0Shla2uPOEk4PDrm5u0tuv0BSgmcswgn6jZ1V5NlcHR0zMnphHGaoZTgC597gXdubPKH/+olFvp9hqMxYeCLvk6Gx2TZlFYSIVzF+fPrPPb4R/nOy1/h/t33sTom7iwzSSfkRV7/n5JJFXIwqdgaVmyN3+Kdb/7PXP7l32bp3KN887vf4Q9//5+yc/dtQllCuc7SoFcTYVM6vQ5Ju0WUxHzoQ5dZGvRotVsY62uxTO2mSY/uMNx9lcnoFGstQSDRgaAyUJaWcWFInSWMFAvLPZzWhAEkgSAKJVYJWhbaHcvJUUmRG6wUVEoStxVRJyQJoNOCIJLzGazMLdMM2i2J1hCGin4n5NwyvPHtQ/78nYz9U8W0qPjJ53v8F//pVZ55uoueRf1Y+0BWjEc2tb4d8rBksBacXRBeGeIHQzf/A6QQHI8M+dTw5OM9dozFtDXRWhcZCR8gnUrqKRSUIEOwuVtyaSUiDgz7RwbnKv7DX475b/5Jyp29iDgKmIwzTNjB2orp+JRWEpNaTTZ1JNrRCQSJln5e1RH9rmSSjpikQ3rdPk5qcI7SOoZZRWYscaB57KELKGHZPjz5m3o6/a1GQ4T9FeDqKVzMJFZ/C3AynPD177yNlILPPvsoUXDI9sGQSVZ5uWlNwsxsa0I4jHPYqmR8OuLkZMTSYp9WFPjnupTIWi00Y5Q9xNwmubw84LlnHiWJI27c2mJr95A0zUinOUVp8MGJDmdzlI6QWiGEw9kKa7xP3FpvwbR1fpY/tr5ZECMZpyV25z7T6ZD09IB2/wI7ByO272+STjIyYbD3j7FVQb42YWnQJwxDlArQYYRQAUIpAKwpsNUUU0wop0eYcgy2Qjh7Rgo5R2kMaerthEpAGCiv8JIOFdaZVzURZmdEGKCERWmHDgRaexJMSW+ZnB9D64mesnJMC8Fp5tgfWW7dm/LOe4atPcNwUjHoCz7xsTa//POLPPVkh1ZLebGX9cqqWtNVc5v18Zr/HJ/PNSO5ZhepdAgtUMJiTc2OytpZKb1NVkjhH5TyXkshPGulJMRScU5GKOmzwYajgmcfjXAWXrthODixSCFxdS6YqMk+K+ossJmttv7o6iuS2TmvSTqBnL/eKCkItCIMA5TyFtCtg1PGaf7X8jxq0KBBgwYNGjRo8P9v3N45REvFzz7zIeIgIOxrnHMopXDOZ0QVVUlgczbfv8u3Bx2uXVlle/uY5eVFnn7iKknkY11wYIMApRwnJyM2tw64eese55YH/zd7bxoj2XbY9/3Ocrfaep3pnn15b96+8ZGPfKS4iYsjKXQMS7KV2CFiJUYSA4ENSEiQDwlAIQHywYA/OUAQBAECW3KMbIglhpJIUaRIcefbt3nzZp/unp7ea7vbWfLh3KrueaRjKGZEhq/+QKO6q+6te/tW3Vt1/ue/cGyxCx6yOOI3/+1Pc/XaHW6v77EwP4dznq3dXcqypJXGSClRWlCVfe5u3qXIc8aVx/iC0mwhpGL5+Gm8UOxt3Wan0OzkGuUrLh0bcefad/nu9/6MJz7Q5p/93v/E2vo6SsaMypIrt7ewXlCWFcPhiPbBiIWFOXq9Fp1um7SdUZQG00SnjQcH2OENDu69ynhcMOjXlKVlvqfp9KIQXm89kQjKq7tbY7JU01nuIqWknQhamaSSEus8cSyoS8v+Xo1bFshYEkfBCtmOIEslXonp2HTgLFduFjz6QIaOFHMLmrGBf/LFDb7+csnmgaKua37x+QX+0e9c5PzFFtIBphECOA9FgRcRXijKkeHWlSFYT5pMBCCN8EASlGDehogfF0bTZWEZ9w1VHSb1zzy8gEgkMm7Ir4kFcZoF46kdXF+vOL7SZmExY3BryLX1kr/20ZT/7PNz/ON/kXB3x+DcHoPBGK0cqtvFWUdih8RxSukTCuuJpCeNNFmikcREWrLf7zMeDZifm8d6OMhritqw0ss41k3pJIpzSw/z1ZffZn1772eFxvipYUaE/b+E9x5rf7bePnsHI/7kWy9TVIZf+tDjnMkSNjZ2ORiVGD8hsWUgTnzQSXlj2N874NbNDTqdjCyNibUKXuhpzN5hRtiEvgiqJsny0jwffLbFieOLXL56h62dfW6vbTMcF1jn0UpirKEqa4SMQKgJ8xKUaD747ie5ZhOSMUSuC4TT5IXBuQOq4hXa2S12h5rBwRhrDLV37FmDdwZrCopixHyvQyvLiEyGjGKEkjgbHvd2jK/GeDMAmyOcmarBphSN95S1xQ481oT7lVZEiSASnpDBL/Cusf25yZoCJX1okpQyKOoaQkpImhkhEWZICs/WyHNzy/HatYI3rtTc26qpjOX8qYhPfbTDr3xmnosXW0SxQjgRSC4/oY/8ocpvcjNxHzomG0TIJptrouQVMjgp5cSm2DQ8Khmqjb1rwszUtGF04mCUQhBnisWlhAcf8Fx+26G15ZmHUoQoefFtw27fT+21QXvcEFw0++TB46bNpP7o/nsfjqX0TAodpAytpkopujKFRY91HucOGBfVT/DsmWGGGWaYYYYZZphhhjAWeHttk+VM8+wjDyCdm0bGONfkIgvPre0B56TkzVfeodvJ+MCzl5jrtmhlCVJqrLWMRiNG45yF+S69uS4nrCdNEo4t9ViYa2Odo6pr5ntt/t5v/lX+8f/w+4zziht3NnHOMdfrsrw0R1nUDIZDrl69zjvvXMMLzQef/ySXL7/BIK9QSlEZx8H+ZghaFwJrBefmKjwRr92E3tWrvHntn3LjnVcQWGTcBm0Z52Nur29TLfXIlGU8LsLYydbB7eMF3Y4ljiO0rCh2XyDfv0VeO9CKzpzE7RUMB4YkVeiomVwXgBeUxnNrfcgDkSQ73iXSklYaVFXWCWLr6SuoTLCXxrEkiQSRFiTKoxI97QYTQJYqfvjamIW5iKVFzds3h/x3/2ydb7xq2B0IktjxN375OP/Vf3mexQWNMD6QX1UzAokFRBF+J2d3s2J9y5IXgotnElbOJWHwY5sBjCUwJsLihxUOTVF51q6N2dmqOXM6QWqBSpvxz2S90kBtwIfyNls7Nm4VuLrJRNOS0+dS9gaWTib46FNgXc0/+p9L1uqadjtBiIzRqMC5nHw8II00nphBaWhJgZAxzoFUMhTGZZZ8PKQ/HFKLmHFlOL2Qcv5Yh0g1llbj+KVnH+Wbr13h8vrWT+kM+9nAjAj7OcNwVPKN771GVRt+8f0Ps3pmBdY22R+UU1uzJxASwnuwFlfkbK5vkrVS2p02SbSI1qFRcaIIm6KR9k5IcoEgTWLOnVmh005Zv7uDtY6dvT5FWVNVNVVtcNbhjMGjGvY9wuPw2Ob2/k1AuF5ZLxBeI+qKgasoi02M1WgRU03YdeM5GBmUsOAqrMkp2ymtVosoSRFSYG2FNznS5RA2YX4AACAASURBVEhfIVyNd3XD7vsjhEwgY/A+NL8YT1FayiripIHjK4JWIlF6sniTvQXTXK2gAhPNxdpP7YLeC6rKs7Xvub4Fb9x2vHq95MqNmr09g1aexx9O+MzHenzmE3OsnkyDvdSJqar2sPrzfgRS6YhCcZKU2CjRvPANGRYIKuEPiT8hReOXb94gDZElxKH6kYbIm7RJLi8lFGct16+PWOh6HrsQY6zk5XcMB8OJEu0wW86J8H4TIpghHZP20Elx5UQVJg5tj4cRYtPw/HaScGy+Q17WWOcoK/OvOiVmmGGGGWaYYYYZZpjhL4wXb91jeWmJM0tzIeKkyQEDyCtDUdWMi5r58ZDXXrrCXLfFk4+dQwgdnDE6fBf+4Utv8dHnn6SVJvQ6LbrtjCTReKkRQqAjyY07d1hdWeIzn3iGr33rRdI0opX1WFluc2q1w8uv3yJJEsbjEYNhTqvdJWt1SVo9KjegNjW72xsksaI7t8T+3i5lVXN73CM1ilPtAfmNL7J20KUsK2KtcLZCxl2sc+yOSiq7x4m5oC4a9sM4q6ot49pQ1W2OzzlScQvtN4Prw4rGVQJZJ+Jgt8A4j3DBEeMb5sohGFSOK7cHvC+TxHNdlPS0pKN0MCprin5FOxVkqSCNRZMBBlIJ8AYpdJM97FnbLMkLx/pWxdW1If/097f45muWnQEszcG//zdW+Y/+7kkWj+vQDKkDQeWlwI4NwklUJpGLbRZ7GdmqxVpo9SSqLRCGQ1LLuBCSrzU+gnqnYGejphjBhTMxpy4m6KyJrpk0kinCOlWFHdcMh57NLcOtGxWnliN6PYkQnuXjER/9YBdZWqra8tzDll//eMX/OIy4tx8UeuCROsFl8wxqgfU5nUgwMjE+dyxkAoSntuBVQpY5doY5aSumHQnmM42WsnHhwLCytCLFMw+eZWdUsn3Q/+mdYD9lzIiwn0OM84rvvHCZwXDMpz74KCunVjC37zIY11PiBgKfJbxHWEs1GrN2a512r02nnZImEVqr+4iwo+qdIEY6pK+iSHNseZ4kidjePUAryUF/xM7eECkCWeGdw1iLcTVCxUgVIT0oJEJUWMC7ELg1eWrnRQhdtBHWQk2F1hWt2ONIyCuBc1DVsDd0KFEgqTFmTF0PSdMUpQTC10hfATWI4AsX3k5T2p1s5FQNCSZ8IGWscZSlY5RbRnkI3D8TSbKuROpJnlZDhtmQVS+Fb6LEDj8svROUuWdtE164KnjtVs3lWxV37tYMhoZOC973WMqvfKrHh57rsryUoIQKF+8JwfUugugQ/kf/nMiwmumTSS6caDzqzY6Hx6YvapPYNW0H9YdyXhpSTAqkhqQlWV1JGY8Na+tjFrqCi6cUo0LyxnXLuJpQW4fvN4TDeYkEnGsISB/eV/JwK9N9OcQkdwwiJellKccXelS1xboxxszaT2aYYYYZZphhhhlm+Mkir2r+5OXLfOzxB3lwZbEhhgyDomRzf0QaRbRiReQ9+c4u3//+m/S6GY881EJrjVKSqijo7+1wcDAkTTL2Dw5IEo3SahpqLpVibX0bFaf8G59+jlvr97h64x6PP3KOtfVNfvDKdYoy2O2G4zFCSioLL7z8Ak8//iRKaV55/ZVQEuYde3t7VGWJTjKMTKmcw3hFXhU4O0YDK2lJ3zpq45HJHGa8z3BccU94OllMPi6ojSMva2rrWGoNWIx2cPUBSlhiLRmVHu+CI0YLaLdUUyg2tZOgmnwU52CYW167ekA7lXS7vSAgMIZir0QJwQNnU44t6KnLxTfCLOWgzkv2hzUb24Y3rlYoLXj5rQO++oMBL12Dnb5jeUHw93/zBP/ub6wyf0yHOBtDeDIhIBLsDx3DUc3ZiylSS2SkaC+rsEzswctmBh+Q4GtHcWDI5jUyikhWIk7OO45XFpUIdDvkKWMJ26hc2GYkIIohNggMSggefihjeTWmNafCeNNAFAlqI9nfrSkq+NCTEQdjyf/xDcmobjMe5wz7Y2pa1KbAFUNsskRhPKNhiXURnSiUCHjv2O8XVPmIB7ttut0U7S3GGNI4YlRZ9sY1LvWUTtJJErZ/CufVzwpmRNjPKfKi5JU3b5AXJb/8sac5ce4U9fV1ytIGrid4D8M57gFrGe8dcOfGGqvLCyzOtYljPSW/jlAnUxLMHyUrBGitmJ/r8OCFk3TbKVdvbtAfjolqObU+2spQ1wYhDSpuoXQUVraH3IdzduIADOqhiUrIOYRXaGtJIkM7lggixqXEektRCXYGIKlwrsbZAluPSCJJpEAIixWH6rOjAfbWH/6PeI+Y2B59sOJVY0dZOYz1KC05fUaQdQVSS4QKNE7jRgzkIn7a0iksFIXn2h3PH7/geOlqye17FbsHhqK0nFgWfPy5Fv/mp3o8/liLTjsK1cruCIk0JcGOkmLvJsD8IYk1WUYcWa95oSYqtcYIepg3dpS0mr62EwPjEXJMClQkaLUV585kDIY1m/dKupng1DLsDRS3t6AyTBseJQIvZLBeTtRizk/VgBMBmxRiWnx55B+b/iaFIFaKpW6Loqopa8PQFve/F2eYYYYZZphhhhlmmOEngFFR8vVX36Y2F3n01DJSCqSQzLUzWnFEO9Z471DGsXdng698/RW0lhxbXsBUBa+/+gbnzp1m+dgxVBShoogfvvQWjz96kfmFeZTSlFXN2t0dFpeW6XZa/Md/53M88fA5XnrtGje9AplR1QP6B3sgFe1uFx23qMoxwlueefp51jfW6Q8HjEdj6roia3c5dvwUo+EBdV1yazjHvVFKXddcWhxyUAhGhUGpxnnRmsMVexyMa27vllw40cZWBmuHLM9VrKQ5vqopS09dS4yTCAyl8XhribynN59RVAZnHFYItPJEsUSrMO5wFnZ3S158ZYdOL2LpRIe4p1hNY1Y8qLgpozNQ156isORWoFQYb0khKUtB0orYXT/gKz8YcXNLsT+sWZoT/Ne/fZbPfe4Y7ZYKA1wNFDAdHCkoa8/V6wVLx2O6cxPBQXiMSEExGUv5QITFmpe+t8f7numSzgXyUmvQqYaIEKRcC6az+hr6myWd+SjkuqUx3RMR7dXwuIwD+Ylt1qk9WnuMddy8vEd0rMelc/CpXPP1VyO8h/7BGCksrXZCrnSw0kaGuN1jUEFeWzLtORiVlLVAoDkY9GknCp1m7A9H5EbQrzxCSPp5hXGCubk5Fsc5u8PhT+HM+uljRoT9HKOqDW9dXaM2ll/++DOsnFnl3vo2RVEH4sD7w5kIghqrf2+HtVtrnDm5QDuLDzO9pmgYtEYWNiUgphlUgnNnVpifa1NUNTt7g8Zb7iirGusqnHNYY1DOE8UZUkr85K3YON38YbAUrmlJ9E6Ak1hr8d4R6YpEC5yPKCqJsY5xKdnGB9ujcwjjkZlARhKpAlnlPCghETrIbqNIEKmwTWM8dR0InDCrMrFohlDEO5sFQgriWHAykqRdFXzZjSx42ujowr57A8Oh5ZV3LH/w3ZoXr5Tc26sZ5ZZIOZ5+JOGvf7bLJ5/vsrISoaMmoJ5D3onJX9Pf7yepJvcJxJRA5F2LHn0aGlnxdC3RvKZH1IKHxNj9vY5TcZcMH1btbszDD3bZGxhMv6YVwellz7iU3NsXWBeOq2ueUjTbFgiEbxolQ1pcU04QpMJKhvW8C6+DlKEQQCCQUpJGEavzPcraYqwln+WFzTDDDDPMMMMMM8zw/wHyquaNtU3OHFtkLtFEHcm8C/EikzFRZQx1XrB38w5/9i3N+586jylzzl84xwOXLqF1UAEtLy9y7uxpvv7nr/DQg6exznPtxjpCSM6dWmxC4tu876lL/MGXv8cTD61w7YZn8+4aSM3cwjJp1qKqLbV1vPXO2wgdk5cFD5w9y1vvXCVOM1rtHt4L9nY2abXb1CrCWM8Dc0O2BgnD0qOxVFbiqEmERKXz1Hmfzf0cpQecO96lHY+YVzts72v6A4kSAlMrRiVYq8BZIh1xYrXL3ELKxkafu+tDqqJGKxALMa1MooWgchYQ3D0w/PClbT7c1nSPtYhTAhElwRuBsqAST2k9axsVZ3RMkkhacwmnpeYHl+/ypW8MWR8mDPOSJx6I+If/+Xk+9PGFpgfSh2B8KiYB9wCmcmxtVRjrqSsXxrlHx07OgNf3uXCc92xsG5Y3Ki51skCQaXH4Ixo12WRMrCXX1mvm9i0XHm6BavKOJaA8xEDdsGYikHXD2tOZT3n4iXneuFZxZ9Px1EXPzn7Fl745RklPZ26O4aDAC0FtCg6KAXMyonIxZVUx8jVKCOazhDTK0BTs9gckkWa+02FOCNql4c7umNI42mnEmRMLXDjW4c9evcruYPCXcSr9TGFGhP2cw1rHOzc2+BLwiece5dh8B78/oiiqwxDzKSkCvii4d2eD7a1TLM7PEccSJVVj8fM4J3HOBoJDuBB0747kTQFCSLqdFieOL7G10wchMDsWZy3eBVLMObBlgXOeKMmQUh/SLVaEZfGTQsFGnRXC5p0X+NrhnEXrCi0h1hqQWAt55dlF4ZtaR+EdJEAkUUqhtCSOoJMJeh1FtyWJtaCqPXlhGYwk/WGN8UeD3sPPuPSs36votRW9uYi4HZoNpQ6NhoE1c3grcLVn/8Dwvdcr/uA7Fa9cr9jdr8kLQ7ct+MTzHX7jc/M8+3iLTisQao1EjUBWBeKHI6/RFEetkkfvFEw8kEzy3Py7FjmqAZuo7n5sSNvRT4YpoTZhwsKHv4qg29M88mCP7f1djDPEkefkssWj2DpQlBWBzGyu91MClpA7Jrw/FLp5F5pmnEfJoMaTDRkmhEAK0EIg8XTTmDPL8xhr2drrU5b1jx6SGWaYYYYZZphhhhlm+NfExvY+X3nhLT7+5EWWOi2E9Egpcc6BCI2Sd/cOWDCOe9fvsH1ykU98/Fk6ne6RmJnwHf3ixdPsHYy4eXuT82dXuHjhFItzHU6dWEQJQWkMc92Mz//NT/PFL3+Puh7TabdAt7l0cRXpDW/f3EGIiJ39Ad//4ff44HO/QBpH3FxbD5bGfMTO9l2U1ugooSwKcDW3hnNEwvCB03sYFC/ckRinsKZExS102qMqRmzujZnPao61DftDGFWCJPYoKfHGgwxFW61WxOmTKavHE6JY0m3PE2nFxvqA/m7OQBukEkRSoKSASGKt58qtHKXu8bHPnCSeSwKfJAXC0thEIGkp3ninAATnTsdsbJX873+0xb/4Rs6dQUJRVXzkmRb/xT84zQee6yGNO9RsaMALfFVh8+DO2Vwv2VwvWD6e0Go1Qo+JiAGCIMNUgQyTEmscd2/laEGTFeaD5VE1KrKJxWrinHFhzFNVjms7NecvZkFPIg7HT2GsdxivIyQUTvD6lTHvf6LNaRtxeb1Pf2T4xPsUO3tweX2O/X4Zytu8pyKhlovsFOB9AbbGSkUWR3SyCC0F0kuqasz2/gGx1kidsLY3praWB451WOykREqgRIZ7/ALfefMG995jeWEzIuw9AOc8125tIhA898RFTvQ6gKfMHc4ediYG1ZWjv3PA7RsbnDl9glarhVIKKRt+3TmsFQhs00Tpg3rKT4iwQFgIqTh2bIGz/VHwhI9KlAx5YZOPAuccZZnj8SRpB6EamyQC7yu8tY2lsmkTbMgwnMAhsM6ibI3WoIQnUhqBwFhJUSv2R4EIw4HvhOdqpYJuqllZilheipjvaZJEolRQLxVjy85OCQ72BjWVczgEXgq8Cz71Ue7Y3jHsbxvmFiPizDcXb8K2CCTY1k7Nn71Y8IffrXjzVjm1QvY6ks98rMvnf3WBJy5lJEebVcJBPKLBOnJxPqK++7HisB/BYdbaIZ91hAQ7+osX//Ln+nHbm+ynEuhYcfxYxMXzHQ5GB6jCkUae1QWHEJ57+5qyavICJsyid+G90lBrclI0IEBYFyySItg4ZfO3EiK0skhASpyHJZ0h5RJKwObeIBC8P+5QzDDDDDPMMMMMM8www78G7uzu8Z3LN/nlZx9BCdGIAcJ3/9oY8sqg8ppjdY0dVwih7295RyA8KKl44vGLjPOCzXv7PPbIWRYXuugoASGJhGZrp0+n0+bJxy5ya22LX/u3Ps63X7zJ5tYBu3sHeKHRkcZUObY03LzxDk4oHnn4Sfb27rF29y5p2kIKKIucuiqJkhaV16RRiSO0NEop6Mmcbivi3rggTVvEaYeqyrm1XZDFHiEhsRZTg5cCUzi0gtWTMRfPt1g5HtPOQtMjPU23pWhngiu1oawstdGgQxu8ao6E8YI3ro54+IF9Tj+xBLEOdsZIgAkcU39g2N833N2usd7yz/+vLb7+QsWdPUVelvzSL3T4rf/kNE8900ZOMrqcD6TVJGdZSHxdM9quyAeOc+czVk8nJB0ZNmKal0eLMB6yDjcoGPQNuzuWW3cqeh3NwqJu2iNpyLPmNRUV5AK0xlnY2SjZ36lIMj3VJoTB1GTfLDh1qEbzUOWWvT3DeGi5eDFlmFveeDtnnFuefyrC+oJ3aLGwtMRoOOLG9XWc0rg6R7oaqRKsjBh5ha6hF4NDUvkYbWs29gaUomZY1JxbTFmZy1BSIgSMSsvp5Xk+875H+coLr3Ov/96xSc6IsPcIjLFcuxUaPj78xAVO9LpI5yjLCmsPySzvPXVVc+fGHbYeOs/C/BwiDnY0IQReNtWwTcaUn1gI3cQmGcgNKQWddsb5s6s459jeOWA30uRFjRCBBPHeYZ2nyHOk1MRJC6kU3nuk1OF5sYHLmpDunoa0CSH6Bosxnij2DZGiQEmcUxQWDvJJFliw2y31JGdXY86cylhYikkzhdYh+F4Iga09vbkIrMdYz8HIUnqwToYwf+9wzlGUlkHfYAoHPQ+isSaKQJjtbJd8+btDvvSdiitrFfsDQ1k5Ii342Ac7fP6vz/PkgylJRJOwz1R1JiaeyEnI2FHF1uS62yir3k1MHV6UeZeD0h95ikP7o58oyDzTFkemjx7943512FGlnFSCLNNcOJOyfVAxLkYUlUMrx7H54BO9uxvhjpBhvrFENrRnyAjz4IQHET6UhAiTJkoKvHPgBVIotJRIcbgPUS8jUktoJVjf6ZPnMzJshhlmmGGGGWaYYYafPNZ39njr9gaPnztJaJl3jMqKrYMRzkM70eAcNy9f5+alczz8xINNm3wTfdJ8nc7ShPc/8zDf+NbLvP3OHT70gUewvulclxLnPK9fvs3Hnn+K5555iN29A7727bcoa0ecZBgHZT7G1DlRnHJrfY1LFx7guec+zO7WOqNvfo3dgwPGwz7gSbIOWauLqQqGJubN3SWsqVnKCjQ1m32oUYgyJ0la6KRNXkveuVuQpZaLHagN2Mrhas+ZUylPPd5hYTGmnUpaqSCJJVLCfFcx35FUw4Kbt0cIGb71WyeJlEFrQVFBWTveeL3PsYWI9EwPWgpfG0zfcm+/5tvfH7Lbt2TbBb/3h3u8dAXu7kNZjflbv7LEb/+DM5y5kCBlEEqEQjBHXTjqgSVb0IhIEc0rltsJ8+c8KhKoLLhSqEWwZNYOSgdego4QLUtsIB3DxfMp7cWY+dUoWFuMv191piTeG8rbI+5uGta2HZGUPHIxQcQAvgnSbwYuzkOeg4/wkaa/W3P76pjIe5JYECWCJ59og4cXXxtR1Z6HzoNKJLlPGec5COi2ElpJyvbWLk5GaG9wxYi+axHJCIWj9hKhW9RAO5JkKiJVhySeAEaVQQo4tdjiU+97hK++9PZ7Rhk2I8LeQ6iN4drtTSKt+OgTF1huZ2GWoKypjQkkhPdYa9nZPuCdK7c4cWKFOI5RSk1lvUrJJr/KB4WYcIGAd/cH6EspWZjv8sCFk+ztDdjd3SfPc4wRWBlmBax1GGsYj4ZIFaGURgg5/YHGItk896T10jdkGA6stTjn0bEHNIIIkDivKZ2gXwrSvKKTOtotxeqxmGPLCe35CB1JlJbBligCu5JkCuEcpgrky/7YYZoLnpIQqWDRcx68sQhssDA2wYf93YqvfrfPF/+85Op6zf7QUFWBIHzy4Q7/3q/O89SDKXHkA/sjAsnYeAWbLCw49D82z+3FVLl3xKt4BA15Npl1OBL35d+V93XIoYlDAs0f+X3yPEee+lBP1qw3uZEgI8HiQsSD5zrsDWrGRdGE5TuOzYF1cHdHN6QrRzLqDskwLyabDuSZNKBEkFE7eZibFsgxOe0FiJxAd1toKUgixa17BwxHxYwMm2GGGWaYYYYZZpjhJ4qitnz99es4IXns9EpD8kAax5xtZcy3Yrxz7G7v85Uv/hntuQ5nzp6ExjXjpnPLgk6nxUc//DRf/KNv8ebbt3jskYsoHeGAG7fWqW0oI1s5s8If/PH36LQ0n/3YE/yvf/gSdT7Amoo47aCiBI/g7atXsLbk6aefI01T9OAArSOiJCVOOjjryId7JK05RjZjKTUkQnB7LwHA2BolFWVVkaZtaiTDWvLi9ZJEWo53Ld4ILpzp8JlPLtFqK5JIEGlBHAnSRKIayVe3k/KpXzzJH355jbzWHNRnuXE3Yym7xYm5AUI46trzzRcPmM8EH0gFcqULWlLnJTcv5wxHIKThd7+0zZWNhGHuKMqSv/+3j/Of/tY5OnMSEevDZkhPIMMixXe/0+eDz3ZpL0ZAyDZWkwB9LaBqSLCQ60N/syRuQdJRCK1JlzQrC814JZXB/VM3ZFvt8LkNBFciIY5JTmpW24beqiftSNKFCCF9UKZZHwaOUkCsIBbYnYK7N/a5ueUpnOSxB1O6S6ExM5bw9GMtxiPHd18dEmlYXdzjB6/vc/OmYb6XsrS8yP5eH6cDaRZRI7SgxrNTQCIc3SiMtCYk7LFuQiQs/dGYbrvFsLTcG5Sc6KV4azm33ONTzzzMl194k53Bz78ybEaEvcdgjOXt6xtkccxHHz9Ht52ilCQvwFcG5y3gKcuSy29c5sTpVbJWRkfphqCgsT4KpJIoJ5GW4OduiDEEOCeaTCfBXK/D449dYDAck4/HVPUQY4PSx0qwzlGbmvFoQKvVnV6QgKl6aEKgT2ySE2WYRyK8xRkbrn0awhNorJd4pyispF/CQlWjlKLd0mQtTRyr0E4yaX5stiljyfGzbUzlkGqM2DYwdJR4pJa0U0Gvp2i1JSoBoYIizHvJaGj5/qsHfPWFght3Df2Roa7DMTm9mvDrvzLPs4+kRJFrVGByqq4TR6ib+12K75Z9wZQ1OvKwFz9m2alyy08VfIfEmJgu0xzqQ+WXCLeT7fvJ69Fs4r6WxqYtM04Ep05EHIw65KWlNh7vA1F4bA6KUrC1H7IUpvSX99OWzcnumGnTpKMWFi0FTjm8l9N/S8rw/hEAUhB5QdRrE2lNFGmure/SH+Y/5gz414eS4rAWeoYZZphhhhlmmGGG9xSMc/zpK1eQQvDE2VXmWim9NEY0E7ehgd6xsXaP/+13v8jf/g9+lWMrS+H+yZw14atvt9vir3z6g/zhl79DURrm57vcvbfL9Zv3uHDuJPPdDCXgb/3aJ9na7VMUOYttwbBviNMOSaKpqgohNUjF9VtrDMcVjz78KGkcc2NtDec8+WgfWwzJ0ggkVEXJntNsM8cDC1v0UsvNQcrmwBDHMZW1RFpjyBgbxQ9ve953tmQhE3TbipMLgqijQ1ayAKVChAkRIATSe463Wnz2s2f5oz/vsXZtkf3xPnfuznGwYHj6nOP0GcmdO5a90jG8N6aXSOh2yOYznnw2Yue7e/zzP+1zZS1hL/dUZcWTFzL+7t9cotNphAQYcLI5oGEwIQQcDCw3bpU8Pq+bUHuYCgCkPrTYNJP6d7YNrqh49Mk2Kg5N90IQWKlYgFdMM8GUoPSC/t2KxdUYnUp8pEiWFYkgCB0UwQKJAOnxtceODMpJRCSRiy1OzmUsj8I4Me4qiECYsE9awvNPt7m3ts/bdwytNON9j1iEiHBqmb3dAw4GOYgwtqqcIFYJXmgi4cmURzckrRAC66FfWBbbEULAnZ0BuRHMZxFzqQqqRe84vdDisXMrfPetnMrYv7Rz6qcB+a9eZIafN9TG8PrVO7x2a4vSObI0Iktj4kiHPDAhAc+wP+Kt19/m7r0dqqpq2h+ZqrIEgeyaNAE6Z0Ojo5swVeHEU1KwtNDj0UfOc+b0ClkSIQVIIVETm5uzlGVBno9w1h4RPImGDGsIsYZQdy6ojJwXOC9xXoT2lKrC+xqJQeCpjGdcwaCK2R1H7PY9ZR1aCKUQoUmysWlLRcigiiVpL2L1XMb58ymnj0Ucn9cszWmW5zXHlyJOrsYsrWiSrkbGKlytlKQoHYNSkSYxy3OKha6ilQoWe5oPPdvhY89mpBFhhuBoeGLQvU3JqokW7JDza2yMcCTD6zBl60fskn6izvPvslM2azZE4vS+icLuvvuOKMcmf7umHMEf3k6ILCmgnUounEp46EKbldWITlsSaYikpdeyxNpNlYXTPLhm/yeva+gb8FgfqoRr67DOYaf2XaYXdSklSkm0UiSRZqnT4vzxRS6eWqbTTn9i58z0iIugiJRHicEZZphhhhlmmGGGGd5z+Oorb3Nn5yB8o5VyGiWDECipGBYVb11Z48u//zV2tnaByXfryWRz+B48P9/lI88/xdrdPXb3+sx123z4A4/wgacv0MpiPJ5WGvGrn/sIb1/fIoo1506voqOIMh9T5mO8DQ3qzlnG4wHrd9eJ0xaPXXqYVpYhlSLLWjiZUOZDPJ5aZKBipFbISBJHklZsOZ71EbbCOI/UEeiUvTLm9fWMQSG5t1+zcXdIohxpRxG3FSoViEQgYhl+EoXIJMfPtnjiCYVil2F/F1cXZInk7ErKh57s8hu/doJf+Oxx0uUE2gq0wSrHa1cG/O4Xd7m6EbE3tlRVSZrGPP9kl15qEcN8mgWNN0wGiq52bN7J0UzGKu960bwDW3FklIUDnPXcuVtiSteMZQnqr4lAwx1GxICgdnD1Zsnudt1EvoimBKxZRcvD+wu/GAAAIABJREFU/DEflGQ7+5btezXeBmumUJJkTpPMa0SrWUcpSDSkChkJPvnxFZ56tE0kIUsFzz4qKUc7DEYlZ86d4vz5k2gtMSqh8MESqVzJQV6yX4ETshkaCvLasZ8bvFSszne4dLzD6fmETAu0EiglibXkgw+e5vlHLqDVzzdVNFOEvUeRFyUvvnWT+U7Go6cWSWKNMR7rBc4brAdrHHdurXPl8jV63TaLC3NEkQ5ZYUdUWs55jDFUZYVzDqUVQmikDMSFQBDHmtMnl3nskQts7/bJq21sYcIHBoQLl6kp8jEAWkeHNj6YhuY7dz8pdigkEg3xZfFURDrY6qzQ1MYzLGBbRbyzXvPQesXJkwlJ2yG8aiLPfAisl8EWqLWktRSz0oS6Z2nNMPdIJZjrKY6vRiyuRCRzEbKtQCmcEXSXI37hF3pceshy967h9lrJtdsVUab59Cd7nDquEdI3DSKTa7M/+kdDdE1104e/Ta6szWyG94e/T0mwqZqL6WzT9KEp7r+Q35cn1jxwtASFybaPMHNHFWGHr4NHCU+vJXngZIKpPUpI2Chw1pJGliyRFFXThinAE0hX3yjc3BF5mhUCIzy1sdRaEjkf2kqPkKTBQhu2LwkTNovt8GFvnODq7U3yovx/OhX+QvAeamMDETYThc0wwwwzzDDDDDO8Z+E9fO21d/jgpXM8sLIIzh0Zt0BZGw4Kx/W3b/CtP/0en/ylj9LtdaZfqycDGQGcOXWM4fA8r7x+jaceP8epE0t02hlCaSIZ4kXKsubv/Z1fZntnnz/48g+4tzdGRxFxpDFe463B2YqDvsW6O3z203+FUyuBMHvptVeprKEuxiRJShLHzUSz5Ha+QKss8VhOzNcMxo7xeECcCeI4JY40ZS3YGgsu34Olbs3b18a0Ooozl+aQWRwOSNP2OB1cCIlWnqeezBkNKv7btYLlbsVffd7x2IMZ84saudLCDitcLKlyj9kZk51oc/Z8xOf/neNc/N6YP/rzPre3EtJE8sgJQ0s7yIuwrW4WjmReMto13Nuu2Viv6WaSkyfioMw6mqssBGBDLpgMZQYHmwUHmwVZ3NgYJ+TXZCBlTSDdjmiIXO0Y9Q2jgWXZ+UNtw0RJYC1YNXXZAIwKx9payYfmNHFHTd0wKCCSUMjp+kIGUvHNmxUffP8ipRjy8pWctY2Se9uOOO2xsrJEmibc3biHNI5OKhntbTM0Hpn2qETMwIRSOSE81nmqsUFJie5KtAyB/RNxgRAC5wTOOT506QxJHPPlF974iZ83PyuYEWHvYez1B/zw8m2OLXRZaUVoZdFSYqRCe4FxjnyU887l6ywdW0JHil63jVYqKHicw1mLMRVVWTAaDanrmjiOabU7eESjMAuzHlma8ODF02xu7bHfH1HVA6zzKCUxxmK9x9Yl3juyrI2Qckri+CNh/hMSbEqITIIlm9mV2ji8r4gjTyLBo6mMY3cE17Y0P3ir5MyJiEstGQITnZraG4UUQa0lPFFL0lmKED4hywTDgUVIQWdO01uOaC1qVE8jYwlGIIQn60iydsyJk/D4Y56iaDHsg9eKxQVBKv3UYgocuTge2g8FP0qy+EbmOyHJ/FH76HSh5kPHiUZBdnjRn2SQ+aPL/ojCrDmmTkw/nKebmBBg05mVIzs4fR3C/xZrWOgoHjgRhcQ2Lbjhxgxzh5IOpRTOh5w3KQ4VXt4F+e3EdWhcKF0w3lMZhzaOOHLEXuGaPMujx0X4QGjGQrLUSnjo1HFq67l+e4OqNv/S8+AvikNF2rsJxhlmmGGGGWaYYYYZ3kvY6Y+4vLbJ6aUeWRSBs5S1ZXeYc5BXZEmCs5a3Xr5Mb77Lhz/xHGmaMBEdTb9qW4sajxjdvsP3xwW9T7XodtrYxp2moph3rq3z/mcfYXlpnjsbO5xeztgfJ/THFa6u8dYgdYqQirwo+Pa3v8bZ0+ew1obxVg1J2iaJY2JRsz/qo+IOY1KEEJzsDNgZSIwTKGGpiiFCCKI4JYkUde1Z72teWXN0WhVxPCRJJCuX5iHV90cMT8J8pSDpSD7yiYRxWfN//i8HtIVlbrWDWunglUeOBTrSOOPQCwk2N9DP+dSHenzkfRn/4ecX+O4PS/74TzbZ2CgY3C1YPBkhRi5sp51CFpH0BJ0xnD2nmVuO6KxEYWBRN9aTJs8ZLfCVodoes7ZesbnjqIzggYsJUa+ZZG8sitNg/LrCVxKiCDuqufvGAG8caSQOh1LuiKXG1HiTMDko3sPmRsVg6CgLF4gwOBxXWcchMwb4MA7a3Ko4dTzi0x/ucWvd8nsvjxiMIDY562ubxLHGOTh9+hjSVRwc7COzFm3lsfWAvk1IZIQSnry2SAHDMgTkH+smOBniZ5TWyGbT+0VNN9F84MIKeM9XXnzz53L+X33hC1/4ae8Dv/M7v/PT34n3ILyHcV5SecGFc6vEQF3bkMU1aYZ0kOcFdVXR7rRJ0qgJig8EWFHkDIcD9nd32b63w87OPqNxgReCKIphIscEhJBEkSZLYw6GY/r9IWVZ41zTWukczgd1mXWBMIHASjvn8H7yw6GR0PupgGoicIJA0gnh0dKhpQChMNaT11BWIL1hZV7Q7kh0LINFUoJQImReSZDKIzRoLUgSaGWSdk/RXYjJ5iOiuRiZaoQTCDO91gePtRLoSJBkis5cTHdOESkHtokFU2FhMbngTZReR/RtRwkqxITMEvfddx+ZFXTZ/MgCE9JsKhYTRzfVLCruO6Y/QnQdsVweJcImS/kjjwnCfImWgkRDFmuklvRHlp19T17Kxl4bZOQIcWiXfHcTJkwfk0IgpUJJiWrWOTqDQXPklJhsW5NmLfLaMhzluJ8ga/WX9WHwhS984Xf+kjY1wwwzzDDDDDP8/xiz8dRPD3vDnLI2rC50Q9i8seSVpRXHnJjLiJSkrg13bt4l67Q4fuIYSk1aJD1VUfLW91/myvdeQtcF93b67BWGE6uLSCmxzrGxsc2rb97k+LEFHrl0mrKs2Ly3x/HFNjt7I+q6RkUJzhrwFikVeVGxvnkXpRQPP/gIB/1+M+5yjPMR7TRFxQl1VVHVlmGdcmre8qEHDCs9z8Y+4BxSaRAKKRU4w85IMhobImNQ3pAoT3cxRWh1WAAGR8YbAhXBAw8lZGbMzet9Hny8Q7yiIVGINEa0YhjXiJZC1o7ucoIUMLjV5/jxhCceTviVT89z6ZEO5cAy3wpjPWoDWiOSGJlo2sua3mpMMqcQkUDQ2A2FxBcOb3zIhtYK1Ytpt2PaXc3ZcynL59KwjvFBGTa5bf4R2y/ZvXLAtTeG7OaC06cTVi+mIVPM+RCe75vbysHuGFtBMXZcfX3IO1dzThyPOH02RUXyvuODN3hrw0y/C46r27cLbq5VrCxFnDqV8ND5hCvXLBt7LYbDIXt7QwaDEefPnyDRcOPmOlakoYCu7CMQGKGpvMKaEuMgjSRRk3dsnacVa2pTh8ghJLvDiq1hxWI7oh1rTix2SJOYW1t7P9Gx1F8yNr7whS/89+++c6YIe4+jqmuuXF9jYa7Np973IF0PdpDjTBNoLiTWWO7c3CDNErT0LC0vEEUaaw35eMzOvR22bm8w3N+nrC0yzagMSB3T60kir0MWmBQopTmxuszTj19kOMqpzQb7/RETjmdiBqyKEHQexwlH+Z9gy7z/JLzvzyP2wrq20FTRplpQCUVtLbd34NtvOrqtMZ+I4NRZSHWMmrj1RUOKyZBjptsKqSKiVIIXqCRCtSKEjsMsQWnCBa+xO073c0rWgPeuqc49/HAQcJj7Nfn7KAf1bsXX0YulpJnZ4H5WpskXmz7x0ac4SoIdOVYTSutojthUxHs0kH8atO/vO85+su5kexJUJElTmO+FYxhJgfKC3YOSg5HDusmL2pBgTSOmF2FGzLvm/3AgbFCaFbUJBQ1SBiOsD2UMSoVbxBFFtvPEwrPcirl0ZpWirNjc3sNNpt9mmGGGGWaYYYYZZpjhJ4TXb92lncZ84MGzdNOYdhw1E9k0GVKePC/4o9//OkmW8uQzjyCkYLzX58oPX+H2a2/hrMV5z6J0rF2+zreyhEsPniYvKt5+5w6nTh7j1MoCWgp+/XMfYf9gxFe/+SqdVOJpkRcFdTUm0hoZheKwRMGov8WaEJxYPcnu3i77B3vouIVXirIsqOuCOGljhMJQkdcFxglaiWQ+KXES7pY9tIqQKka4gis7KfpKSZrUaD2g3dYsXpwDre4/MEfGCFLCL/61Ve69FpMsJZAphPUQhxIxsdrGewsGhPMoHCsX5vCpoNwYU0vJmdMxYiWGrobKQmkhH4T1k/RwnBR7qFVz8AVEAqclmzdylk8nxK1gTUzmNcfmVdMmCRgZAv81UDnqgUF7iUgkeiFjuZvRPmPxeLKeQqYyEGaOQJpZGpuKxmcw2si5tVazPxRcOpdw/qGMOBNN4HVzbHTjjywqGOfktWBru+by1ZLjXcnKcojWWVpQ/De/dYLf/ofbfOkbFqFier0W3tZcu72OittoqSjLGhO3MFWNklCNDhhrwUI7IxJgvUd6wbhy7I4MC+2IcVmzPSgpLCy3Y9pxsHVqIXjfxZMUxvGdN69TmZ+cy+anjRkRNgOjcc4rb95godviAw+eAiHZ748PT2qgLCquX7mNEoILF0/R6bSwxtDfP2B//R6DrW3KosRYC1GOQxEnGVrHtNuyCdX3CCGJk4QHL56hP8jJi4qqqqmNJTQHBjueF1AWOd57tI4QQiKlw7kj/FAT2u/vY4IOmR9PCFsXdU0SC2IVIUSYpbm2CV9/2ZLGOR/VcCIWyChC+CP+b9GQYbEMmWdagpcIneDkPKaeQ5ghqtoL4fxKgnbB5z19AvDChyyAqQIr7POEJAv7ylRNdSizOlz+qHjLi2AD9VI0yxzaK6ds0tEjIu5Xy90PP1XwTm2Pjaz3vhbKo9Kv6V0/It2a3gjp0RGkWTiISkZoISgKSV6UXN1w1DawZn7yvBPuzjPNhLON5144HwixyiJEPd3NSXupCCpnZHOsIeRbpsqz2mtRnD1BWZbsD0a4WePjDDPMMMMMM8wwwww/Ybx8Yx3j4NNPPEBR1cH1ADj+b/beM1a2LL/u++1wUsWbw7sv9wvdr8N0z5AT2OSMSNokTVKmSJqQCNuULUMSDBmCAQdABAw0IcuwYZu2pQ+GKVAfBMgmLEg2R6RoWsM4Q3Jid0+n1/365XBzqnji3tsf9ql77+sZUUNzZtitqQXUrVvnVt2z69SpXfVfe631d0gJ1jnuPNrnM7/2+yRJxPxMi3e//FUOH6yjpCdDIiHY7acEouLu9dsIKVhdmefKpTMsL3ZYnOtirCVQgp/58U8w02nw5tt3ef3GFqVSdOc6pLnBIbFVRtKIKYxgNBxw6cITrCwt8cWvfInSOYajEUI4ZmcX0UrSHw5Z7yeUlcCZkrVuiXCGmzuWCgFxB601qBhlMm7th8w/tMzPWZbvDJmZDVHzDZiErLv31GjCoQPJ6nMz/gv/MIa4gGhiXaz8Anlb+/+RllBJhKyIuwFxI4Asg6yCVghF5bO12gG4EjIBSQRYXwhk9X7rsdhAcvt+jtWStQsKMSGiQgmB88qx6rgmIZRs7pQoJTh1Noa6yVpjTvtyMaBexRdHRVxVGExhCRsKGQR0z2qeWnGUlSNsCFRD1oKGutNlaSH3tZwII6yrqMYlpnKcPxMxvxzSXVB4+6RjsZPz8/9hhBQLfP7tJjtbD9jZ3qHVnuHK1Qtk6ZjbdzYwJOhIkQ8PSbOUEaCFI1INZB0/VFnHYVohpWC+FdFp+iZ2sZYEyof5gyARghefOkcjDPjNl69/jSjlg4opETYFzjn2D/u8cv0u3VbE5eV5HNAbjKEswXrmOB2n3Ln5gPFwzNxcBy0Faa9HenBIlRW1nNPiTEa2t89eGBElDXQQIYWu7Wu+i2Sj0eCpq+fpD8aMRilZXlKVFaIOo/KrJ44iz3DWorSug9EdUjis85NpPW2cEC4d92GZ3DbGUFYlgXaEMkAKRVoYbmyAfqUiiTI+EUkWA0HY1L5dLpKjFsdSIAKJkwJnIyozS56vUppZlNkmMUO0qJDaE33gcLKe5CbjOkFQ+TFOyLaJpW8y4JNyLXF0+yg37Iiccsfqskk2GOKYmvq6pNeJ7RPll3HYwlIVFltZhBSoQNZh/u4xAdnXxIJNPlfeM2TkZGgCjSQSDiEsAsWzT0QMx4JxnrG+V9vhj/6136/EW3Od8+eTxd+vkiCNY1xUTLpl+q6Rkw6gvnOlxBOY1jk0gqaGs/Md8nyV63ceMhhl/9pM4FNMMcUUU0wxxRRTvD+QFxWv3XnI4kyLK8tzHDkualTGMCpKNrf2+K1P/w5r8y3EeIgSx5yRlJK0qNgapFxLQu6+fZdOu8mTl0/TbSdIrZGAUpq9g3U+9pGrPNzYJQ42me122D3McZQImxMGmkEmsM5SVX1eefmz6LCJVpJQR1RlQRCEnDl1ivX1h5R5hhBN1gcNnlwYIIxgb6RJIsd4mCPEECFavqmZjLE245X7EkmGdAULCwGrDQWNyMu/6noN4KhFvBCIQJNll9g//CRz6reJOncQTQe6FmHEFpQDtP9SbwAjIRJgA9ABFAFsDmFWwnwbDgVkuS9CmoHfn7SecJoc/8xwODTsHVScWrOIQHgiDY6dN0d1ld9YVPDoVsriUkDQPJHr5Zwn20oBlfU5ZA5M4Xj7nZSrF2PirgYh0JFEN/BkWyR8iP7EB+UEo4OSoBJETYkMA9qrAc2lujoKHEILXwjFgIHL5wL+i58Leel/O+S3Nw0qTIjimFa7wWhwiLOWONJk/THj8Yhmu4WsKvb6A5LA54EJC1pCXhn2Rj6PbLkT14Ssf52U9MfGWrCV4bsvraGk5de/9PY36y3zZ4p/JREmhDgD/ENgGf+y/5Jz7n8RQrwE/FVgp77rzzvn/nn9mL8F/Ef40/ZvOud+81sw9im+ibDWcu/hFl9qxDTCkFOdJtZZ3NDhyqq2qjnGwzGbD0t6u3vEWiKdg6JAOoeo87qEc7jxmHRri50wIogixEyXSEgC4VvLShkw0+3yzLWL9PpDRqOMoiwx1mLrrKojMqzMUcagtD9dJ9lQk1a17sRkNaGaJrfBz1NVZRAOtHYEKkAKSVo4bqxbfvuVipl2RphIZrUgUNoHv9ddGIUTOAGOgKycoz++wChfw5iEUFiw6yQqQ8W+ByJh4CdyMZFaOZwVR8qrI2LpyL1Yk1gTkkuIo8+ME+zXEXk1Yafe27jwa7gd8Z7fJ7Iz51sEm2FFdj+lvD3E9kofcLaSEF5oEs5opParHpPunUedHk+E/buTx/nxhEyEEkgBWrqjfLMlC89eDjkcOEZfzdkfWpydfC4KRJ335aRE+DYviDobzofn+8OaVhYnDEhFEAmk86ShxKGO528kjlDATCy4tDpPURS8+2CTUZpPg+6nmGKKKaaYYopvC6b11HcOKmP5o+t3CKTkwsIMAjDWMS4KtnpjpBBoAQe7B5SDASvdmEY4EQz47uQHo4y8glA4mtmQl798nZlOQqt1GjnJVJeS/cMhvUHGn/+hj7G7P6TIUg56YyQFUmnSwmDNmCCMKNGUuUWVKUkU0O3OkeYlCLh7/x5VkbGysMDhKCXPMh70EhpK832XUqyw/P4N2B1mUCkMPtzeEJPmGV+4HaPMgG5ywMcQLF3ooGcTxCR93Z4sggSuFAz6Mev9NQ6Tv8rSzt8jEjdprUXQFj543wKh8W6bQsMsYA3kCpckMHSw0oJuCLsKcudrh/4YZAOEBlviSp8PVmaWG6/2kDiasY/BQctjUss4oPSPq2sEaxy9vZIstaRj+x4irH5emcEcVvRvDyn6FWEzYOOdjFjA1eeatTpgwnJO3DcT5tOv4O/0K4oty6WrCUr6mkvp+nGRAKFqyyVeCBIpVhdK/vO/nNAfz/D6LZ+H/MZrN0jHKd1Ok8O9TQ4PD4jimI9/78d589XX6a1v0B+nJFGMQGCdIC8tQim2U0+ersx0kdb4XUmJEhKLZXecs9qO+dD5Zb56Z5P1/d4H3mXzjSjCKuA/c869LIRoA18RQvyL+m//k3Pufzh5ZyHENeAvAU8Dp4DPCCGuOOcMU7yvYYzhxq0HJFHAJ597gtlGhDHWq2fKClN3bszTHFOWZEoQCgilIKgndTFhXIzBDAcMH9xjU4J64jydThsIQHvZpVKK5cUFnn/2CoPhmDQvsIdDHBUYW7sy/YRRmRJjDVJK5FEg/IQEmyij6jfjUaCYO7qPdY6yqrDW+M6DQQg6wDjJ7U3LF6875ucrwqSirYSfSI/JepyVjNMuW4cX2BlcJM27VKaioVq4IGYuGBFaEEkMLkaTIlwFsgInsAY/gVk/v6qj1YbjMR5Jq76mxS8n7jdhv9zjHJk7uf1YIXekIKuvnXPYwpCtZ4y/dEDx+QPyG0PKXoWIJMETTcLvWyD5SJd4PkSGyuelnbRXHg31vUxbPZYTm4WoF4S0QIeCpClYnJdcOavZO7S8fLNkmFo/kTq/CuY7d/ocMCnAWYO1tVUS0ELiEJROUKAoZUgUaAyGCoPA+jD9Wh0ohOf45puap04vUhQFdzZ2GWflN/K2mGKKKaaYYooppvjTYlpPfQehP0p59fYj5lsNOklIaQz9cUEchMy1NO3IK5Z64wLnHKdmGgRKMMwKHu0PySo4PdMg0pJYCOy4xx/+4eskccjq6hJKKbK8YHNzF1TE2bVF/r2f/hR/95d/g3ZD0oib7PZKtCgobOFVUUKystjmyQvz/N4X3qWoHDPtFoPxmKKqaCRNhllOOh6gg5hRFRBoyEzKyoyk2wgoqoKl9oidXJKWCYFWWBdSmIIv3m9zbqlAJpJr6YizT0K0mHhCa5LT5cCWivvrp/nVzzaJ53a4du05BuXPcDr/B8i7j6ispb2WUHU0ul2H72uLl4pJmEm8EKLhwDWwBwKR1ovuUnrl2GAMqumtjlnBaDPn3qOS0QjOroWsng4gFN5yYmpllwUCi0tznJXkqWXrfsruZsbickRjQoKZSb0JDErcHxxy7+/e46uv9ME65rUgXklIf+4M7qmGV50dEWd49ZibsJl+e1U5Hm0WnDsfo7Q8Ub85CBSUkklekcBPJrfWC9aWA/6bv7nK3/ivH3F3q2RgLEkIhzsPOTjoeceMgDdfe5PdnT2E9MH5aVH4RnVIZBgSzc4SNSL6w30aWUo3Dinygsj5mmx/VDDOKkQH2mHEz33/h/nd12/zpXcfUJoP7pT0ryTCnHMbwEb9+0AIcR1Y+2Me8hPArzjncuCOEOIm8FHgj74J453iW4y8KLl+8wGzrYSPXjlNqxHVHRtrZZiznhArrLc2K+mJrToM/4j0dkBlKAZDenfveqrnwjm6Mx1Ao2u1UBAozp5e4flnLtMfjDGVpT8cU2CorK1bC3vrm7OeMHHY4y6Dx1KnE9uONUzH3kSBEw5rPSEmBLTaMY3OAqFWPDi0vHUbksQglaXR9UojUWcsplmLzf011vdXOBw3GecSYx2RiJBJm7DRI6KBcadwQZcg7xPpLWQwAFthjEU43/lQ4ZDKj0kIV9v0Hpd3+c+Lk2TXCeXbJERNcNzSd0KMuROT7ddRiNnKkj4cM/ydXUa/uUN5a4woLVL442cOS/JxhQvAvTBDPCtQoaq5Rne835Nwj6vETuaJTTp8Tk4KAcQhLM4Jzq5IdnuSOxuWofF5YNZ6e6Y/j/xr7T8sPJlVWYt2Dq0kMtDoJCFodQiTEFVliCqvu+VYlLOPk2HAQjvm6toC46xgfbdHXv7rE/g4xRRTTDHFFFO8PzGtp77z8HD3gC/euMv3PnWBKAhY7jZxzvlsW6izcA3bvQwhYHWmQaA1C50m850Gs40QLSWVtSTSkW5v87u//1U+9tFr6EBz684Gh/2MDz1zijBQPPvUWf7jv/xv8pnfe5k/+PK7JFHI+dPnuP9wi2FqiEO4uDbDQb9AqIjzp5ZZWTnFq2+8RW80oj8aY8qcRrNFt9Vmv9ejn2teXm/S2imoTMW5OcN6z3I4GqAjEKKBkhohHO35RcqFK2yagOytr9Dv7fD0x5eIZ6K6MRa4IuDG3Qt8+nMzNBee4fzFqwyHQ/Jxi1H1XbywNEIXh1QHGfv3GkRrT9JaGKObmwhtvAIrNDgtcWON2QOR+TrGs2y1eqqo4HAEMy1E17udLsxWmMoStxVBS1Gn8fjr0kIgwClQFnOY09ssGR0YTp+JOX0xRjeF339VW1kKsJ87ZPDf3US8O2bFQYmPceneGzP4lQf0n2rSfbbjxzWJvKkM5AVEIU7AqF+yu1VQHXWoPKF0AChKqCoQwZG7yBrHwaCiEUvOrWZcWBrwYLeLlILD/U3S0ZDTZ8+CMzy8/5B0nGKtxVrDSEq6zQSNz+3uLM7R6HZoJDELa/ME6SH5/iGR0ozzglFhySrHYisk1r5pXRIoPnr1LHuDMTfWtz+wLps/UUaYEOI88ALwBeBF4D8RQvwc8GX8KscBflL//ImHPeSPn+ineJ9hMBzzlbduM9tucO30As1GdETC5PmxfbFyfhIX+DlHUKt5agLKOXBlRTEYcnDvvs/4unCOTreFC9QRGRZHgQ/PH6aURYXdgOEoharCYLGuzm9/LHPrhBJsYomcjAW8vXBCiB1Z9jxL55wnXHQQsrRylsWVMyzMtunLPjfXN5B6mxWX0egKgkCSVzEb+6ts7i+x30vop5a8yqjKMcKkiCiguTBLIzhLLq+AbaCrPhFLSNZRbCBEhlaGIHSEOFQgUK5Wck1mtYkSrJ6Y3ZHSjfeQT8erKpOb72WnRG0vrQ+Wfz2MpTzIGfzRHoNf38LcTlHGe8LBc1Uid9gbI7IvHMBShEw00aQro/TE3dGu3ns92dXk9XGTTpSuDr+3lKUPiwwCx0zLsTQDw7HAWsEotZTGYkuLswZXWyJxnhzMRkAzAAAgAElEQVQLtG/nopUkEgFBHNFst+nMztJOIqTJsekQm6XYssBWJdLVJF99ZgRCcGq2TXFmkVGWs9cbY6adJKeYYooppphiim8TpvXUdw6uP9xmnJe8eO0ic83YdzyX8iirVivFznBIbiyBlix3EubbMap2zhhrCYRglFeYNCPf3OTLX5Zce/o8y4szrK3Oc/rUPGGgMdZw7coZev0Rr711n2Yj5nCQYdAszsUIDK/d2GSUGpQEqQStRgsdhARiSOksOoyZ7XQo0iHpeEgUN1kfxpxqWZZaht1DRSdwZNoyzIc+1iRs8MTFJ/mxH/sJAjvmYOsteoMIMxoRRrs8+z3L2HiGPF3k1bca/MYfKs5c+Shnzl0gy8YM9rc43NsG00DmXT7xYomqIjJ+hK3hx+iKEcuHv0oUvonoSkQicT1Jte9w5aQ8dJNm9LUdJYAig/4QZjrISNLQ2jMfgY9roRA1E+KoRhVuZAnaCqEkeiFhsRMxUzqUFp4Ec/g8MCkhr7DvDtn+B/d449aYBtDBK7VKYAyUd1Lu/pN1nrvaQkTKk1zeEgWuItsasrFn2N4zjIeOc2cjdCIet5FOTFBF4R8faExuuXUz5bBv0MLwj34t4yu3WjRas+xv3mU4GKCloDs7w972thc6mAprLWHUwFiLE4Igjknm5mh0mpw9s8yplQWasaIaD9m7f5fh5g5xFJJEvl6PlECJiV0SFpoRP/zCJc7MNvnMG3e+re+rbxa+YSJMCNEC/gnwnzrn+kKI/xX42/jT4m8D/yPwV/4E/++vAX/tTzbcKb5d2N3v84dfvUmnGXO226QRh9haseMVYhbrBM46RGURgBKivoAUsqZiHKayZP0he/cfInWAUqcRrQYCfRSs3mxGPP3kBYqiojRvs7ENjFMKTJ3Q52p+aKL+qj9ETpBAYrIawPE8OCHlvCpowig5jLWURUGkJafWzrCydoFQOspsh4f9uwh9iyW7Q9yU7I0W2Nxb5qDXZJz6bpZZXpJlfSgPEEFBMz7FXPdDWNawRiBsB4oG5UgSlRDqHbrNMUkjRyrQlQ8+nOQRTlyN2EnXw/fKro63+fseq8geI+HFMTs2adc8uW2NweyMGX1hn+pOiq4cUgmsgAKvwNKAzCz2xoj01hi5GCO0JBReNVyzSscX3rP/yQbHYySYtRZTOYrSMsoMZWlpJ46lriPN/UvsHPSGlqosqMoS50z9RcE3ITCBv62UpKUUcRzTajdptxu0kwRJA5NEFIMe5WiIwUFV4o5ef3+8QqU5szjLuCh55dY6vWGG/aAuZUwxxRRTTDHFFB8YTOup7zzc2zmgc3+LF6+eI6i/+B+bJxxpUWGs4HBcEamCuVaEOFrCBYQg0pJ31g957pxivLHJw5kW3/2Rq3TaCVoHIBVaKg57Y9ZWF/m3f+Tj/Or/8wV6w4InL61y9cIyn/6tNxgMxwSBpnKaW/c3eLR9yPmz52hGivubOyAEewcHjEZDBCVh0CHLcg5GikHe4MLMkGcWCzZHIb/3rsWVI1ZOrfITf+EvooIm2BZPPLvI7oN5Nu79Got3dzh/sQnzT3O3/9N8/vY7XP3wZWbnlxmPhxzsrLO7cZesd5uO2mQ9G3B3+RrR0qfYDT8EqkXPWvYOf4rwQNOdMZxaeBdjLKY6Co35OovzzreTzzPoAUkLIuUzugIJlfJ5YwBKkFnBo9sppy/GNLoaIUHFCtWgfgy+I6X0Nk0nIf39bW692mfPHu+2g8+zHwOicuSvDbj96pDVJ1skHXmUGSOSkFBrlkRFI7FEDUVzXqMCvDptolaTApwEFVCNSjZuDniwadkagHVtfuUzkt/7Sklj5gxX5te5UY54u2cxleXdt96irAxlWeAcxHFCmDTI0xGLZ04zNz/PIM0IwoDZ2VmCMEKFGmth8dx5hHMMNndpRmFd/jmcEHVMEWTO0kliPv70Bd58tM/GQe9b9h76VuEbIsKEEAF+0v5Hzrl/CuCc2zrx978P/Fp98xFw5sTDT9fbHoNz7peAX6ofP61C34d4sL7N77/yLj/4kSssNWOSKPBqMOuVPbZW/BjrqOqLEbVtTVDb/kA6gTGWotdn995DEIJT59Zot5sIrZDSv6lmOg2evXaBsqxw7iYb2+DIvBwUPynYiboIW3do5GhVxaOeioQngr6GDJvIq5wjHQ/Y3X7AYP88p9cu0O4sorvzUJ1i21zA7t+lNd5iv2gwGkfkBdgyo0oL8vEYUwwJzB5KK8rwKmN5Hi0aOCxGanIDebaHHSXEqoEQKVJagsChAofU0j+HCXHExA54/Dx8QL3/KPTisYkS7L0M2Am/+iQTbCIcm6jNrCVfH1PeTaFwR3NrAVjrkNYvdCgHDCqKRyl2r0BEEic0IZ7oFKpuVnDkRD0m7U62LjgambNYYylyyyi1pLmhqixJ6DizLGg1JbMduP3IcG/dspMbnDMYU53ooAPGCKqqQoiYOI5oNBskSUSgFUGgUUpAoNBakUlB4SzWeSL1iGisc8cSHfDEygKjvOCte9sMp+H5U0wxxRRTTDHFtxDTeuo7F9fvbxAqzUcurhFpgXCOwlj2+mMq4+gkCucce6McrQQzjQBZLxJbZzkcjJE4nHWsxoKNG3d4uxnz4eefQAgNxiCVIgxDfucP3+BHf+DDHPZHfPWNmyzOJPz6713HWkMcCsqyQAaKIJA8/+Q8o9wwyitm2wmHgxFOBoRxAyUVWZZhrSF1TbQBZI6SBY1AE2nLuSXNT//kD7OyegYdJczMzlGkPXSYsAlsHv4z7l3vcf6Zdyn6b3Lq9DUqA4d72/T2t9nfvk/Ze5cF8WVmEsPCE3+FneQHCPIWSodYZ9ndP+T+nX2Uucr8wR7jsePi0k2U9ESWZFIq1bYaUQGVX2Uv8ERWe1JPTaw3k9swqZvW90qCWHK+pR8n1wIgjGDso1dwgLFkbwwYFM43/MJHQWf13TO88CwaGG68Pma/UsyvBIQtycqpEJVIRKhprCgaE+VX4BBOevLLApXDZAYhBDJSqLZi7XJEe8nQXk/4lc8+wd2+YGbmHX7mxW3++r87y+e+0uZv/fe3uHGnR57nmKryRGoUIXCU2QilFK1Oi3MXzrKxsQkmY5zlBGGIA7K0RFrJE89d45Z7ndHWAY1QU1H5gkxYkALrHDujkvPzDf7ip57n059/i3vbu5gPUID+N9I1UgC/DFx3zv3iie2rtd8d4CeBN+rfPw3870KIX8SHO14GvvhNHfUU3xY44ObddaJQ833PPsFcIyKylsp4ZU5VmWM3n3VU1lJJQYBDTyySDmRtPRNVSb63x4412MqwcuYUM7NtwkAhECilmJvp8Oy1i5RlRWUtbhdGaYZzlSe/8JJR5xzWmbobIX7bZOATLqwOCPyXOfnKomBv+yHbG3c5c+4Ks3PL6KiJEg2kazEsu2T5JqN0iK0s0norobYZgR0TuX1a4YD23FV0+xxOtbBCYbAYZxkXilEWYHJJKSTN0BFHlih3KA0qcAhZr2RMsrcmut4j8uvEE3gshus9irGTKyBfY6PkyHrp0gpRuMceYt7zryaNTLKRIdvPsQ1J21roaAKUnzSEP76uzt86CvE/ebxFnQ3mwJSONHVkucEah5SOZlMwMxOyWglOnbKcWlHMdODNdw2buxWZFRhnj19j55BSkiQxMzMzNBoJSin/gSGl/13VWXU4sIbSGWye1+RpfU4AWgpaYcgTy4sM04Jb63vkRfW16rYppphiiimmmGKKPyWm9dR3NipjeO3uAxyWj1xcQ0vBIM0Zl4a5VsxiOwLnyEvLVi9FAe1YUxrLwSDl0d6AU7MtlroJCscMJTdeewelJRcurNFqNhBScevuOlXlY2V+7me+n99ameXv/fKv0253uHLlDM6WfPX6A7RWzLYD7j3c49HOiGevXCbLRhwe7IBuoVRAkY8RArQOMEUGQcTtvQajTJIXBZcXDYVQvHJjh4v2db73e7+fJIl910Nnscawdbvi1t6XsA+WWFzaZsuEVI1nuPHOG/R37xPkd1gM3qSdFLRXPk5j6cOEcRshA6xzjEZDHqxvMBiNwEqcbdLMP8RCGjDbfgNbuw09p2XxdJQBY7xHsdGEmQYIWVsT8Yor4wCFb2jmGByUZGNDWUykWCdzX4CyeIw4c85iSkdDwBY1GYcnwPJ6JArIuwE20ewdVOxllkw4ni4s587EBIlEBHAUsK2Ut2seEWOCw72SfK9i9XSE0AKnBHv9iP/7c2tcf9ThwuKAT32v4y/8cJtmR/NDn9L0Bwu89D+PuHk/RQiBUoFvPCYlSoVcunyBc+dOE0cBZ06vcLC3w8H+HgB5HFLlBTOtkMopLjz9FO8Wr5P1BkQSyjxHG398dkcFReXJyLNzTX72+z/C//XZV3n70dYHxmnzjSjCXgT+feB1IcSr9bafB35WCPE8/vS4C/x1AOfcm0KI/xN4C2+V/RvTDicfXFTG8Path0gp+Z5nLtCNQsKywpraruiOc7gsop5+BMZ5wmFi4ZtIV0VVUuzvs5UXFFlOef4Mc/Nd4tCz74FWLM/P8Oy1i2RFhbH3cfswcrUyzIGVx5lazk16Sx558XwovTp2TU6C4I9FU8eWytFoxPb6HXa2HrK4dgWdRGjlkE7hpCYnIs/2MLZPwAFSDhE6J4kHRPE+USihvYbVXYxQOCTOOvJSkJWCUSExOWjtyApHllkagUUrKJRFSl03GfDB/H4ylMeEWD1ieEx49Z45+sRk814SjMkCiPA5W40AmUjf6MB6Ul8HUDlR++sFQgvKpqKIJVXuKHsVVU0+NqyDRKGQPvBfcvT6ujoE8sjZKcSRIs0aKEvfaEFKRxILmrEiaWockrnCMT8fMjOj6bQEL78JDzYz0twcrSxIKYmiiJnZGRaXF9G1mtBNQvmFQAkFgSBqNsEahDUU1mKKukOk87JeAQRSMttMuHRqiXFe8XDnkLKaTlVTTDHFFFNMMcU3HdN66jscZWV48946V9aWWGonzDZjOklUO2ME1ngHwyAteWgdZ+cb6Ppv51fmmGvFKCXr3DBoFimvfP4Nbt7dYXVljrw0PFrf4fyZJRbnWsRRwEeee4IXnrnI3n6fNE3Z72dEYYSSFVu7AyrrKZw7926R5wUWVTf5Mkil0UqRj/Yx1hLaNkPRwA4jLs1ZilJwOBjwxuf/Ka+9/Fkkhh/4N36cOIxwjRnaCz6Pmfwqe61FdBJxaeEN7g0e4kyFGl9nMblJK6loLn6M7oV/B91aw8kQYyuqyjBOc6xTBMkMVdbjYDimOxiw175E5B7RbO/VzdImJFgFpvLvmE4D2klNZNljdsoJ7xYZlaRDy95+xYP7BUkgmJ/3tkhfcNYvXIW3URo8GQdUhWW3KYklNCUcWk+qTPRmTSBJFMPnZqCpfH1cOIbOcme9INSS5QVN1FKIWHjVmpsMkOP4GS159Z0Rs3OaqKF467rl0/+izY11w8XOHX7kozt8z8csSUsDAq3hp35sCefgv/xv77Df9/WkMRVhEHLl6mVe+PBzdDsdb3EMQ+bmF+n1+uwd9Gk1EzqNECkFWVGhpeLU5Uusv3uT/NBnjx0F6JeWhXaExJEXJU0l+be+6yoozVv3Hn6L303fHHwjXSM/x9cPLPrnf8xj/g7wd/4U45rifYS8KHnz3ftUxvLJ5y/RjEJM3THDGnusDhJQOUdpLTiJrm2JzoGzk8B037mx6vfZvXvPq8q4yNJChzBQPowv0pxemad8+iLGgbv1AEePcZrhKP3kZWuXoJtYI48JEQBjjztYylplKk+4Cj38+Dc3HrGzfpPR1Y/SbM8jnAACrGphAgeRRVQVsugRBSntoI+iT+BSMrnKQHdxVqLrjpZlZUiLiry05CUUOQTGkYUFeWbItamnOd81JgwlMvBEjzjyc54kwtzJIdeXY2LvmBQ7aY+cXE9uSGSoiFYSoosJ2WaJGRikdQTGk2ROAlJQNRXZakTeDTCAyy2Dx84IRyQUoHzAvjy5nyNX5mNKNmv9UwoUWC0IpKDbUTTa/gO4KgWdJjSThDiSxLHii68KHmzmDMYVIAjDgE63zZnTp1hYmMdaS1WZuoGLRdtju6kKIqJWC1F3nSwGA8xJBSOew4uVYqXbIT9jSYuSnYPhNDx/iimmmGKKKab4pmJaT00BkJcVf/D6u3zPM0+w1GoghENJ5b/pSx+RclgYdoc5SgrOzTdY6DaRQqC1pjLGExjSsbHXZ2GmyZ137/Ng84CL55b47hcuc+n8Mu1mhLWO+dk2/8HP/iC/9A//X27e2WR+rkOnIdnrG0rjkFQgAwaZwRqQKqAsMlSQIJXG2QorAqzNCAKFNRWjsuT2YUJDZjy/NgYqXnuU8iv/x99nbnae7/roiyRJDGIOqQMoZgiSmL3MoeVTXOy+QbZcsTEa0Y0qtNJEjbPY+AxCR5iqZOdgQDMO2e8NyEsDUqODJof727xzd0xcvMLZpzNEmSPCEKQBUSvBnPAqsE4ECE9kOQeVxVV+0V5oCYF3r9jMsjirmV0KmV0JfPFYOU98gc8aCwSuqih3U/Z3SzbvDDhcDFlYUHx4z/B2DrsOSufdmGuBoPNil+BaB6UFlYQSi5QwHFoePspxlWVlKSCSGqGBquRYW+afRr9XMRoZRkNDFEmGg4LN9T5XGxt86rsrPvLRJklTHU8swteVP/Xjy+Ql/Fe/+IC9nkGHEdeefpLnnn/WRxN5Mw0OSRzH6EBTFiVRqAiUwFQVLm6i4pggTjgtJQ/ffptqkBKHAWHgkEIQay+G0EphrGOxHfOT3/Mch4MR6/sH39b31v8fqJdeeunPegz8wi/8wp/9IKb4Y2GMZe+gz6iwrCx1iZQ8JrdqwkUKf1ETS6IQR2zVpPOjse4o58tWhiLPsVLSaPuVC11b25RStJoJzUaMcZDlFZWZBPW7IwvecQ5YvT843lBbDAXiaLXlMatk/VhnDY0kYmntMjMzCwRa46RXhHlCymCqCpsfEotduo09OsmIVlJi9BwDu0bhWiA1VWXIy4o8yxmnI9LxgHR4QJkNCOkRMcSVBldZqtxhS99oQEiBCiRCKsRE41sP9lhh9Z7L5ElMcHI7cNSJYMKraYGoWzYXhwVVv8JV9Twv/apD2dak5xuML7UoFiNI1GPHTmvQyneaOebrasXfe8Y3ISmtc5gSysq3+xUColDQbknipiBUgkBCqCEJJI1E024q4kjR6xuKEoTUzM3PcvnSBS5duUgURyitUUr5bqRCIEXdtVQIhJRIqfzfpQRrcKY6YkJdfT4KQCtJM4mJopDDYeotku8TSe9LL730C3/WY5hiiimmmGKKKd7/mNZTHwz005x7W/s8dW6ZUGnvVjjx98E4Z7uXMtuKmG3FRIE+ignx3129D+PNRwfEgWalqdnoZQituXhuibXVeYIwRmqNtY5eb8gzT56lKgtGoxFbBzkOSTNypHle108KrQTWFAgVYqoSXIXQITqICKMWDkeZp8ggwRASB4K1ToqSAbvjgDLdp9x/m9nVaywsLOOERkiF0iGFVRSl9U2zygbPrLzMcvcuRWGROKpyl7RsQ7DA9sGYw8EYrQQH/SHOGX+MrKV/uMvmxjq3br7G2cVD5hsCqXzUjG+uJmCmBd0I7+WTQK2IQJLuFr6m0dJ3h0wUncWIubWIxoJGRgKB9Kv8TuBK60kxJX0MS6gQFlQgWHu6ydLFBtHDlKXC0JAQKggTSfKJBeIPL2JbAhFbrHAYBEJIpIMqt+S5IwgEiZZ1Dehw/RyExBo42Mp5+/qIQAueOBcRNhWrq4qm3GdtacwnPtYlTtSRIOWoJpSglODqEw1akeDV6zkXzp3hQ9/1YeK44etsKdFaoqVEKeHzlkONFgLpKn+fyNtttdYYFM12i1HvEFOU/vECtLAoHSClRCnJOK8IhCWOY268vyySGy+99NIvvXfjlAib4huGc46D/pDSCZYWukRa4Wr1jBQCLQWhkkRaEiqJkp4YO2K2qYWrNTHmAGMMlbHoOKbdaRCGEiUlUvg3ZSOJSJIQhCQvSsrK1h0G3ZHtESak1oSB8RuO33o1OSKEz/h7jDzzA5NSsHTqAgtLpwnjGCcj/NQswBnKfEw53CVil27So5VkxEGFQzMs5xjmCZUFayxlVVLkGeNRn+HggPGwRz7uIW0P5Ubko4L9/YrtnYK9fUNVOLSCIFTIQPq5tzaIu69ltyZP6ZgDOyKfxHsuJ+9cOy4jgeoGqJkQqwSlg0oJyoaiWAjJLzbIrrQoV2NES6FDgQ4EgfaTfqD9ba08OSYml8eUbI8P1GfIeVXxRBmWRIKkKQlCgVIC7eO96nNIEIWKTksThYpRJmm257h05TJPXrtCksTI2t54NPlzLIybNF+QSiKVRgWeDHPG+Et98nlC1hN8gRR06vD9fpqRF9X7YvKeEmFTTDHFFFNMMcU3gmk99cGBsZZmFLLQaddf2X3W8jgv2euP6DZCnj0zRzPWXniA/45rrXfebPfG7PRzAi0ZjMbsHI4Ylf678OnVBRrNBACtFL/9uddYXprj4vlVfveP3iTUgkbS4EPXztLrjckKixQO6SqcDNFaMh7skWcjoihBqABTFZR5Shg3Ea4CHJnR7I4CdgeCdljRjiyv3B3RbHf58Ec+jpQa5xx55TAWhFBYB/fu3YX4HBdWD1hZHPlGXC6lHewzLOfoFTFpaSmLAmfNkeMnS4ccbN8j7T/i5Vfv8Oo7QzrNmLlWTBSC0CDmW9AKvYpLRd4SCf7oSbhzL2Njo2RxMThePFc+FkYENWlmJ2IEgcktB9slSVPVdY8k6GjaSyHJckDwTBP13V1GccCopeifThhdnaW6NEs1E1BJhXWyJteEH5ZxOOMItCCKvKoq0hIRaNCCci9l8+6Ye/cypJJcvhAztxoiFUgLZ9didBSAc4TBpB7jWATivMAi0IKnLjfptrsMszZaQBg3kEr57DBZ1+pSYIyhrKqaaDUoCaiQieNqOMqJopCltUUOtrcRxvjS0xmE0og6M3pUGHYGOZeX23RaLR7sHB7liP0Z4+sSYd9Q18gpppigLCtu3d9ktt3g6XMrhJHDFAUSahLMk2GyNsi5Ot/JOQHC1WSY7zThjPdzZ4MB++sbzM21iKMZdAhSKaSTtJKIsyvzOOuO7I1bO4LhWFAUBc4Y/5631nc+lN6iebxfjjKmnPMTnZ6QYRObIY7hcMDu5h3GoxdotmdwEx+lkVijyQtHmhoS7bydUFiUdDRUn456RD9vko0MZdDECUlZ5jiTIVyFtY40q9gqLGVqURbSTDHIQxyS1dmSZwYFV6RiTks0GhnUB/wEseQmPyfeQ+FviyMj+ddT3OOfaE1SiUASLMe0P6FQpxrId0aMHqTkucXFAjsXILra2zWVQCo/kQahIAgEUk2orQlF544HM1HY+Z0yuZJSogMIIggrh5QQhAKpjwlKUWfeB/UkPuME1mpeeKoJosFufoqZpbOEYXh0WI7Iz8nTd47K2BP/UyCVIoiT+twRjOU+xXDkM8Nqm65wDiUFTSW4sjKHFPD67UdsHwwoq+POlVNMMcUUU0wxxRRTTPGnhbGOz7/zgKxyPH9uhVBJqsowHGcsdhpcOzNLOwkozXF9Y52gNJb9YcbG4Rgt4dHOAQejgiBK0NGQG+8+YmV5nk+2m8RxRJrmlEXBzl6Pj75wmZ/80U/wG5/5Elle8eXXH5DlPmPZGotTASCIIk2cNLHWImRd01hL3OxSZkOKtI8KEhqtGXpFQBwbtBRUleKZMxFXz69QVYbCGcqaBJtUDEIn7Gyuk49b5NsNPv5cyNPPh/T2Sqh2SMNXuNFb4d0txTgzOFtS5hl5NmbY2yMvDJVRCKG4ud7hH3/xCg+GXZ5a2+fS+T7LLVmTGw5swZGFqP4uby082sy5eDGmNR/UK+j4jC4tfVg99qi0kbHmtbd7PBdIFk6FJ9RXysd5BRA8FbNyYYbOZkF3veTG2xk7PYuWXjggaldNAEjnQDoasyEXzyfMLQaYylKk1tdekSJcarLatcyeMigF8YxGhMKH/0u/65WFgK3dEvqGmRkvPHlMIGG91bbd0vylP99CCMNvf/GQKAjR3QWcklTGIYTFVBWj0Zi0MOggoBVrQg22TMmtV66NxjlhO6TbanLumae498bb2DQH6SizjCAIEUJwMCoora+rXji3iLWWz1+/w1Zv+L5sSDYlwqb4E6M/GHH99iPmuk0uLnRxUiCNIVIQqWMV2IT0wlmc8GHqlokqjDpo3yKKglHvgL2tXdrNiFA3Uaq2uUlFp5Vwfm3B8x3WIgRs7sAIKIryaL6a/OJc3fnwJBlmOOoc6BSESiClO5oYyzJnZ/M2/YNHdOdWgcg3PKwsVWHJ0oosq6hCB5VAOofCEYkxM/I+Qxmwk5Xk2QxOJ1TOgilrJa4kM4o0DRmnIaFUFLbD2M1irWSwO6BwQ0RkeSoxdJREIxDKIoR8XPEFNYM3Eb75VZIjMuxfoh47IsOURMaCYE7QjDVyOUHslohhhS38qxOI48YDUoLSgiiUhJFfuQhCgdITdZ04yvdH+C6XYiKzc7Vl0oHUEIQQVROrpfPngfXZZP7pCVACFQpiBy0DMzlcuRgR7DVJnaEqS3Sg6nNschQmx8PbMCtrkBXeMlmrw3QUIzp1UL7S5IMhJstx1ofxC+vQCBpacWllDi0lb9xZZ2OvR16+f6ySU0wxxRRTTDHFFFN88JGXJa/decRwnPHxy2doRgEL7VkW2zGNUGMBjeAwzzDG0W2ESClpxiGtqODOxh7744rV2TZJFLAQgzEZf/DFd5ACVpa6PHi0i0CwtjxHMw74oT/3PONxxj/+9B8QhgGZLX27K6moygKlFFkuUWETYS1FkSOEJIgS76xRAVYEhFojpCAbjzgQIalJeGG1x9W1Md91/jpp/y55sIaUCoH/zo9QFOmAKu+T7ceWnbUAACAASURBVGywP9xgq3HAE893mFuLfAa0e4O8CNjUf46eUeTG0DvYozQOYyWoJoYGy8urXH7uk5w6fZGNw0PW3zngy3f3+dDDQz71yV2CLrUVpbY54shHFXvbOYEW2MnX+pNlkynx7Nax3cgYS144Hj7MWVgJj/9c11QoBRWIUNJY05xdcJShZvz6iCiUuFqggQCFI5GOuClpL0W0Woowlhip2HqQ0hKCzkLgO3WGkta89PuLAFcr1RSgHKJwNBqK4agi0IJWy9c9PoT68ZpwpgsffyHhC2+HjMcjGkmE1rM4JyiykiIbkpeWIGxgnSQrHXEY4iqLK1Mq45DCYY3hsJ8idcTcuTPs3r5HWRRI4UjHOYPMkFWW5U7sc6Gl5LmzSygh+WdfeuP9ogx7DFMibIo/MZxzbO8e8vbdTRa7LVZaCS7PCVxFIE/YIK33sFtPd2GFnwit89eu/l0YS5nlDPd2Gc63aSZh3RHQEz0ikLRbCedPL1JVFc5V4CybNTlRlu6oG+GkS6V0AidrC2bdYdJaH2Los80g0j6bygurLLub99l+8DoLS2fRrRCB8sGIuSHPSmyRobUDIxDWq5g0hobboWMFg8owylNK0cap0GeaOem1ujqhKFqYypFohQzmiIM5hG6Cydkp9njz9i5JMuYJ6Wh2wtrSB8ia5ZfuuJPJRAVFTYZxxI9xNONy4r71ReBb74rQ57A1Io1sBoTDinBoyPPK57BZU6vwHFoLwlAQRt7KOLmWCoRydaZZ/f+lqDVqXnJX/4ZyEPrO0EhFvY8JQUmd8SXA+XMFBVJLpLJIYXA2pyhyQOGcRmtVn4vHWWRCeMIVoaiEV95ZIX3spJDIICRsNRFKIYIAc9jDjlJs6bDOYp1DWYiE4OxChygIePPeBvc2d0nzckqGTTHFFFNMMcUUU0zxTUOaF1x/sMmZhS4vXlljthEQqEk0i1+Qrozj7nafq6dmiALN/iDllTubbI8ML15e4cJSGy0Fo6zECdgpBtx/sMnSfIvTq/M8f+0cy4tdBI5IS370Bz/MTDfhdz/7Gl99ZwOpAuY7mp3dEaZUICRCKKoyQ9aZMkXaI4zbqDCmpUP4/9h7rybJ0vvM7/ea49KVr+5qPz0YB8xwSAAEIHDJdVRwyRVXEi9W0o0UCkoRUuhKl7oDb/UNJC1D0mqlCK4RSVAkAZDLJQzhB2O7Z9pNe1O+Kt1xr9HFezIre0iuEEtwMITOU1GRWZlZdUxmncz/cx7jPfkkKMMqEeOsY1xFHIxr4vptlpNvcDf/B5h4GWdqijwnnx5zeO8NBmrMmnzEx7KbmIOc4/cdKy+ughKMdoZ89St/wI2x4bmXf47He4dMpwWnzpxlOhlR5FPi7jqdsqAYH5J2+2x1ehwfdHiyH/P4e5I0qfnc549QXYEwFebIcHjkePygZDpxbJ1N6PYDOYYhKMJmH/FtjSea5/ncvzUF61AL/BjNjMO8rTL4EoUAmQriVBKlgjNbMcbBZBpicIT1dGM4tRmTrUd0+qHpXgHHU8cor+itRqjZclRDfM2UarM5RApKKbm3nXPpfMrhYYXWglQ0IgBFECfY8Pg7Dzr8yRub9Jc1xeQYbEliJxRk1MUEW9f0Byv0Oh2M8+SlofYhqgjvkN7hraEsK6LBgCRNSLIOWmu2r90A60kjQRpHTcQNQXonFUkkeen8Gl7+DL/9zdc+crNUS4S1+HeCsZY7D7Y5s7HMyrNnGCQRwrhwLJmF4zcKHes9xkFtPbWbBebTEDwC6xymMhTDMaO9ffq9FK0lxHEThh5USb1uyqXzmxhbQ7OcJ7ueaVMFaC3hnIP3gUATolmfYIv0ze8YB940Br6IORk2Hh9z78b3OHv2LEtnUrzq4+qaejLGliMykdORNVHDvngHzgpcbaHYx48t01FJHW8g4y5eRighybIexlaBoCm7lBgikZLGQVYshcSZJfbLHu9cv48WQy5c8nT6KSoOvu8QAN/YG5UMEl58Yzf1CyGJC5eN7TOguZzZFxsllxSCRARSK06gKsDUNlhZm+2UipALFgV7pNIyhEzKYD+cy4oXcsJmxJxsDsazd5lgkZWYqlHouSb4M2RSztW8tRWUlacoHccTy3hSM8xL4lSTZZDEHqVleB6aTfPezfPCghBPIIQPIfoiZBMoHUEa7vPeMwHq8RRvXHhNOjc/A7feS3jlmTNEkebWg22mRfWRO4C3aNGiRYsWLVq0+JsL5z1/9MY1nttaZrW3ihAhQoamXKw2hqNpyfG0wvqK197f5vHIsjHo8MzmgEgJlJJAxbsPh7x8YZXh/iFFXvLS8xfodhOSJA7kmowwwykvPneRN6/cY2P5iNpramNROsLbMEPUVY7SEXEcUU2PqYoxWilU2sfjqYoxcdrBW4MrJ9Q65a2dJW7uV+z85iP+h//2SywPOhzWfx+hUqoq5/GtNxCjO1zoPOYTS+9CPabnJdMnY3pdybGP+J0/KPjKm32cfJvh1CDjHl5G5IcxQsUsLa+TJgmR0hzsPeCNr/8+a1sX6SydJk4zouwCX78yoJe9xyufGqPiCDGQ6HFFfylifUuxeTFBpgLsTCFByBSzwZnCUc74yLC/U/PoiWFpSXP52TSwJtaH8HzZzFrOhjZKp7AWJkPDw0clSUfy3PMZSsD+gWF4bJhOLR1pWV4SpKsKkmCvLKaO0TAE1DvrULJZD2jIrwpImAVbCxcWvX9k2Vh3nD6X8eh+zqnViEw2GdnNfPX+vZLf+XqHx8M4lAPEPWrpGNUWYUu890RaonWEaSysUaRwLszLQki891hjsDLCC41FInVKZ3WTsx+XPLryHtJDpGRDtiq8kHghUFJQW8/Hzy0T/Z3P8MU/e528qj70/7G/DC0R1uLfGaPxlB9cfZ8zqwO6q10iKXHe4b3A4bEeaueprKO0jqq2Iey+sd0pJFqFlknnPHVZMzo4YtjvoLWi2wOiGNk0HSolGPQyLpzdxFrXZEJZdpzFexfUZzZY5EKGVUN2NZzOTAYrZODvK9PkXEWCSHqssdy5c4fTV7/Kx7s9dOdjuMrhpvvE9QGrcc4groh0HfpaXCB2rBXY2lBPDhjuQ5V54u4ySdJFJx1kNsALjRcZuRxhqzGVqaEoSNKapLsEcYKrJI/GDn/VIP2EMxck3eUEHTdMnffzbRFCLJBPYXu9CATgByWxcxJsxjQ1dzVKYaQGHQtSFFqDMyKUIDTPk2iUv1I1uV6N352FoHzfZHV5wXwdgmXzJO5fItCND1IA1vjgZnVBrTezOda1YJLD7iE82rc8OUw4mkRMqojCaqwLUuWsIbQW0tMQPpzCsYARM8+8b4obJFJqiELYZTbwWBey6lzugiR79tVkh2VasrW2zHBS8GBnH/MRlPW2aNGiRYsWLVq0+JsL6zy/+913EZ/5OJ84uwreU1vHcFLwaH+MEpJxFRiQrfUVRmZIJ5LUxqCkRjjPuKg5npaY2rAkC955/T163ZQXnztLMOZ5lJKUpeWd9+7xj/7BZ6nqmtt3n3A0qnEiQUiHNRVSRSitQQhUlJBmHh0nmLrGWkOS9QHP6HgXpWM6/QijYqZVzeOdnP/tX9zlv/v1L5F0tng0foHJ/j16/hGXzjzgZ07dwk4Mx9uwf1wyGFiO9YR3dld5695ZkixmVEiuXr2KlBDHMf65V7n07IucWtnE+FMcNMqkyd5DDve2SXtrbJ05y/b2Dnd24Pe/fZ5+f5vLHz9AdSJWntGsXAq5WTTuntkg5EuHmzpkIhGxgiVJKjUDNC+se/qrmmRJ09iMwBIINCsCmYXFjQoO9y07j2tiBRefz0g3NMJ6TsWCpYGiKizKeZLMg62pc0deerYflYyODc9cSsNco0WTI9S8OEqgqoJ6o9E5DA9rJhODs564Izh9NmV/u2QF6HQUVniu3Sn5s9dHHB/l5PmA3UNJUadsriX0OgZvQSFRCpS3eB9oIdEU0jl3kvosZSBl88rikWgtmBaOjfVNzr8MD6+8R21Mk3VXg4rniT557SiN4+NbS2y/+Cxfe/sazs9KDH68aImwFn8l7O4f8/337rL2qedZjyU4v2CH9IGQ8GCcp7ahEcU2qhqLA0FgoqXAGcvoaIzS24HY2lyn0+uho2iuDIsiyepyj7rewM7JNRusdt5jvA+/2+Rm+VlWlfDIoJ2aC6Ws9xRBXIaMBVp6JtOCN954i24n4rmPj4j0Mqk6Jo53WfETkqhAqRohHEIGYkoqidYgvKHMxxyX+yTGk3UsHeeJsgFx3CHLBNbBsMgp8hFyWuIc6Cih1xvgoxVKAfdGYK/c4dM+56JWdJYilJrlrgmE8yc+yMan7oWYE38nKrAFNAc1XHh840KcK8SkFmgf8rS8FnNFWFDWEcIZpZhfzjLBgqpPNmRYs+xZRhhNftlsGSI8H1qE7Ddbe5zx2Npjao+pHVXtmeSe/bHg0Z7gwY5n5zhjUnXIbYYkxQuQ0qI1xDHNhpyQYdaFVyBNkQKAbyqCpQQpFFJGiK4ONJ2ASgl8nuNMaIucfQPEWpKlMaoJMm3RokWLFi1atGjR4keJB3tD/vjtW/TSiLPLPZxzFFVNFEWsp9lcnbPcSXh2o8fjwwk3ngxZ78eUtePu3hgtJbGWdCMBkxGvfe8qg37G+XMJQgbiZzyZcHg4YuNTL/KP/9HP80/+2ZeJo4IH20MmeU2axFR1ja0NIkpAJegkCq2C1qLjFKlUUBOlPaTUSKWoiilWwuNxhx+8M+Zrf/g2v/qf/Asqfpnd6QM++fIdXriwQ1IqHl6RWKnxrmb7/oTKaHx8kcsvPMeN27fZPthDSUGaxERxyu0775N2+2yeOk2cdYnjhF6viz9/jts3rrK6PGA6zTkajhksLUHvLL/79YT/0I949hN1UFh5AgkWR1A0c5ECHwuO9wxeOFZPhdD3qK9Z7evwGN0owCoZiDTj8bnFTi1aadAauapZig3xcoyOBFlfIlX4PdVVdJQgSxsxQRQcTC43HG3XTIaWi+djzlyIQ1macWFegzDjeIk3Bjsx5DkMx5abd0qWuopBP7he0p5kqY44PKgxxvPWzRHffjtHxQNyc4ZH246JyVBxl8NxwaRwxJGlkyqU0jhbIYTHeTkvPSvrQMYqCYlSaFdjypzCO0Tpqaqa0mqWT58G53h8/RZ1bRHOIizoOMY6zzCvqZ1Da8nu8dFHhgSDlghr8SPArXuPuXp6lU9d2iTybh5SHwQ/gQWRUqJ0sEm6OpAN0kukCE1/sXM4Z6nKkv3tA8qyJi8qNrc26C8tEcVNbpgQIRBytY91jrK2FLXBGsuhc3jvsHamgDpZx3kmoji50flwrJlWga3pxJJIePaPJnzz298nEiM+8cJl+t2IJDomqyfEqkBKi1AOHd4b8NphFYxKy9KR53BYcjQakleWsq7pWUeU9lFKYG3NNB9zfHiEtzVFXiCkJtIxaZaRZstY67l9ZHDv3CNJK86nCpmqYEOcMVcLgfZzkmvWdPlUkPwMzX1y4a4FF6VswhWFnDFHswT7hjpsCLc/dylP1mm2WM9Ck+Vs6TL8Dbl4+4ybcwJfO+oaJmPHwciycyTY2/ccjyImZUbtEpxIQSZUDmpTzM9ULLbBQKP+sz4UFjDbRR4RhWpKKUNlsI41KlKoSJNHmvLomGI0wlQO20iCjfOBcK0M1n50DtwtWrRo0aJFixYtfnLgvOfag12+CPza515mvZPQzTJ6RlLP1DkifMJe62fU1nF9e8zuKKKTKAZZwtnVDmkk8c7RkXC0u8uffv1NfuHnBVmasrN3yNX37rKxvky/m7C5do7//r/5j/inv/XH3Lq3Q5okvPrxi4xHQ65ef4iKE4yXGFPinENrTTEdoqOYOOnS6a3gnKMuC4SUCJ2SW5iaim+9PqbkNf7T/9xyeT1maWUXrTzDG55xJRFpTKYVLi853B6zceYWv/ppyd4njvmf/u8B6BXy8ZijccG0mPLw4V1efuWnyJKINF1lc22F6++9w5tvfI+yyvm5v/3LlLVhc32Nu3fucO1BzvHRMv9VtM+5F3zIzlKAlOCbE9sinOAfl54njwq6A03alQuh+DRsSQzChNlHe2zsuXN9ytaFlM5qhJAQ9zVxn6aB0oORzeMFQjvMUYWOJKQSISHJYKsXsWkcOpXoTiN2MM3MZhzeEhojtUamDpEbTO44uxmxthUzWNeAR9SebioxHcXXvrPLN76/i4lXKeNnub+/QoVEZ11MbRlNFVkasb7qKOuaWmi0V0gbXDXeeYwxFLXDiyBEsZFExBpZV5S1ASCNNc5aJrklXllh5cI59t6/G4i72jCZVBwVlmntOHdqwFe+9y7XH+58iP9R/99oibAWf2VM85LXrrzPai/j0moXZw04j3OhMte7QKZoEYLanZOUtaG2lnkzoQwthN4LjKkotkum05zpJOfUuS3W1ldI05Qo0mgp6HUS3OqA2npKQ1PPex9/7KiqQF64JjusuQjXoSFp/FwxZhxMimDpzGLQUrCzn/PVb13FVft89tUtllc8sa2RpkZph04EcVcitCDuQ9x3qFRwaGsm9x3bE09tLMPxhNoIut2a2hiOj3YYjYaMRiNcXVLlJd4H2976xik6nQ5x2qFM17hzWNK98oSsZzh1Vgfv9ZyIWmR/ZoSY+wAptMh6EbgwNyOsTmyW80cL8LPMr9k+WrBeLqrPwt+TJ4+d5YLNluh9Y1P0T3NzBHWekB6pwmtEKBAaUALrPVVhyceG6QRq08GTYsgQKkPICC881ltCj/Bs28LGLO4R5xzGnDzvIIi1DM2UQqK0RGtFpBVRpJlGMbW1TKtRsPIay7Qy7A0n7BweY22rBmvRokWLFi1atGjx1wPrPFfu7zAs3uDX/96nOZzU2CYSZTGnVgrB6eUutbHcP5gSqZRn1jPWewlKSqQUVMaSeEf+6Alf/8bbfOZnXyDPSy5f2uL5Z8+w1Esoy5r11R5/+/Ov8Na79xn0Unb3R+TTCbIp6KqrIqiOsi7elHhb4LCIpIMXAlMXIVhdCOr8CB9l7PiUP70F37o9Av0G/+V/fZ4oFXh0UJhFNQIDEpJuii0Ma+cLTj3/kMtKsLR8nn/5jXN867tvUlU5p7bO8Pm/9XOcObVG1u1TljU3bt/mD7/0u7x37S1u3XyHC5ee5+VXPs3Vq2/z+MkThPdM/EX+5Pub/Ep2nfWLdRhpbAVOzfelB+rKsX9gKAtH2mvu842VUhGUE4tDlpIcTzzmbsnzA42IFuJnJJAlMHInDh4tMUrx5lsTPvkzPWQcyLA4kdCREBMskZWESASGRlomuxWdvkZmEpFIuqc0nVNhrUXUuDtdsHlK6VkaaF56vs83Xq94nH+W0WgV7wQq7VAbB96io4SNVUW/60hMhPMOoRTg8c5hrQFnWer30JGmNp5pUVGjiBoHkgrjFHVdo7s94rjD6vkI5xyHd+4TRRF9HTKdR8bzm3/wTY4n+Ucua1l94Qtf+HGvA7/xG7/x41+JFn8lTKYF09qwvr5EJ4kwtcVaP3/Bf8DJh8djF2ySIdi+sezhAhOdV5RlibEWIRVpEhFpHULPpSCOIpSSSB3h0RjryPMca+x8uX6umnqa9PHz24J9z7nQyjITV4FnmjsOjgu0qlhfU6wuO+LYEiUQdyVxT6MziUokUSJIE0E3tZRGMK0UeR2DSkNxgDOYqqDMpxT5lHwypq4q6rrGmhpnLc57dKSJogSPpzCeo2NLqgo21iVJIpug/A9mhDWKrKa15Ckia77FC8qt2fXZc7LAc4VHNl+NyitcnnzPzp6ckHInSzi5XFDleRpprwgnYLwIdcbN+vqGLHPGUxeOYmKYTA1HU83IrFKKdYxcQeoULTVKepJYkCUGrZ4+oIqF9Zgtf0aCiblyrVGFKYWSCqk0QmqEVtROMMkLxnnNpCHBbj3cYTTO51bJDxNf+MIXfuNDX2iLFi1atGjR4m8c2nnqJwfHkxytNP1OFj57/wWfQYUQ9LNwEnd/Egqd1vsdIq3wgJKS64+O6EaSOi+ohOLjL17k0oVNlvoZUmmk1pjaIJVkfbXPlWt3OTieMinBC01ZlQgh0VGClKEoyzuHjmIQGlOV6DhFRwnT432KMgehiOMUYyyn+iU37lQkwvP88z2iriZJBKn1lIXDVhbpLWd+ZoNTn14NjfTWsRTtcbB9l6s3S06d/Rif+vTnePLkCQ8ePqQynn/z1T/mn//WP+Xhw/soKSmLMTfee4vNc5dI0y4g2FhbRkrNO+8PGe1WPLNVkPWbKJna4WqPrR2jI8P9G1OiSHDmfEqczmYmTogw54NbhoY4Kx13b01BCTY2Y1S0MAwpQNkTZdcMDr79gzGbqxHdnjxx6igBESCi0GI5W4oUvH+7oMwdg2U9n2GEBBEJRExgwryau3Rq61FCcfnyOa7cW2M01ch4gENi6wqlFWsrEadWLFqF14iSs9mw2ThbESlJ1NhxZZMHHQjW8LMUAoUh7XTo9Pt00gQZxaS9HjoSTA+O8Ah2RjnfeOcGD/eOf9wk2OMvfOEL//MHb2yJsBY/MgzHOU5INjeWibTGWhvsa76xRzakimzIGOeCLdI513A0Yt76J6UPip7KYkyN8544SehkKVorhFTBw92QYUiFJ8IYS17kOGvxbkEz9ZRb0s9VYn6mGmOmYAv3BXUa5KXjaFQjlWfrVMzSkgy1uB2JziRSh8ZFKQVKQ5bCoOvAO0a5ZFJqpMpI0h5J2iVNUiSeuiopywJjaoytqasQPumdI0mT5g3Gk5eO6bhifdmytCRRWiDVLJuLE+ZnoVXy5MgtToLA5iRYwNPuyafJrDlVtqg+W1B+nVxf4NzmdBNPXfqTu5odLvFeNqcwTp4DZzx16chzx7TwjCeOgzxjbNepxCZC91FaoyREytNJPLGukXJR2TYj6sRcOr5Iywlm4fmBCNM6VER7JM5LLBInJePSsH884fHuIbcfbnM4HGPdj8cW2RJhLVq0aNGiRYsfBu089ZOFu7uHRFqztTr48yd6Gwigm0bklWFvXNGJJUudGAifjd/fHlIYx8WVlL2DEUYqNjdXyLIUjwyEhtZ87Vvv8MwzZ1lZ6uJMzfEoZ5rnaK3J0pi6KgmfszVKJ3gkpi6QShFFcTO/eYSKSZIUcNSmxriEaemQkxGnlhSnz3dQHYkGorxG4Fh9aYWVn14BKalGFu9CbvNmv0JHMbujFe7cfcSd99+nLHOWV5bIi5yr776NcQ6pY6TwVJMh29s7LK+f4dzZszjnuPfgAdPplJ2jGFHHPHt6EiyI1mHGhuMnJfduTrEOLlxKWV6Pwpw1HxSbvW4tPne40jEdW+7dyNnbrTh9OmF9M27ia5hHzyBcIMKEnD9X2w9LnjypWFvTLC/pQICpRtggfVAm2KbJrMHeds2dhyUXzyQIPSPnRCDbtAgkmJstN7hzXrsy5cJpy8UtuLe/zqjMsHUVXDBJQhZVDDKLkk2WNjTFZUHAInBo5VE6nq//bLGzWV0KiIQhyzJ0lKC0wiMYTkq2zp1mNC35/tvX+cHNh9x8vId1P1YSDP4SIqy1Rrb4kcEYy5Xr9+l2Mj753FniOKIuqkB0MRMwCZQSRAhi7zDOUlmPr01DUoBHohFI5fDeMB1PEdt7RHFEliZorYllIDG0Eiz3Msy6w1gwxmGd49GjR3g/DWqjJiwfAH9S+jEjT07UYUEVVvhgm0wicKXn4XbJ175/RK8r+cXP9zndj1BJczCYNSuKIFHNenBWO3RUEEeO71zTHFUh4D3uDMi6S3SyHpGO8c5xeLiPMTWj0TG1qamqCnCcPnsWFSeobMDjUcn120dsnPLoKOR5ibl3/YMHloW3ynlL5MljfPMrfnaknq1/c+Zhnl/oP3DJzH3oEV7M3xcQJ6vg53TTogprtsymP7J5T/DOn6y/D22ftYHagUFQe0ntMozvIFWK0ioE3XuHlg6tgi3SL/ox56sUlurDi2m+zdY7rBMoJ3GzAz5hF1gv8EJRW8H+ccHNe094+OgR03whi6xFixYtWrRo0aJFiw8B1jneufeIQTfl0toyWsmnlGGzE76JVpxf63Fre8i1J0MiLVjtJjw5ytkdlVzOYrSAgau58c4NOr2Uz37qJZSKgknDO46HE0bjnF/5xZ8FBD+4cpeVfkrWG3DuVI+3rtwG4UL+s7N4Z9BxQl3mTKucJBsQZwO0s9i6oK4NUdylEiC958Zjx//5Wzt4GfG5X1xDrkV0RJdM9pErKSLRHLw/5fZ3Dzi1EbP5cp/9g4rPvyzZ3X+PL77t6K2c4vJzz2GMYXdnj43lVXYP9ynrGpku4Zzj0YP3+c43/4j1X/3P6PaW0FFCv2NQUvGt93oIYfi1f7hPNNConqSL4GInQieCzpIK5WTeh6Dr2jch+wK0AuEohjWPH5Yc7VsuXkg5eylBaoJ18qksGIGvanxeUVnY3TPcvFWw3FOsLKkmg8w3tkZCA2VdA7Jx0XiqqeP4oMTUIbtYLox4QbllmyyYYGucOZ0mueX+ds1LHyv52DXL/Z2CKNbESYYHiqqkLEukkGEmdo68rJmWFiEl3UQF62NdgI5xM3dPI2KpHMRKEMUKVxWYJKWWgmlRUtQwNRHfvP6QP3nrFuO8+uv+N/kroSXCWvxIUVY133/rJlpJXn3mdPAWuwo3CxpvFEtSCiKt0bWhMobaevLKBA88Hu9DNatUHiEMxXTC7qNt4jgh0hErqwodx4AgjjRry11Mo+aqjMU6h3/8BD+eNPZH0bx3LJBCi3bJhrEJZBgUdTjgaAlFaXm0XfCvv3XE8pLi735+KchmDdDkXYVLiKRASs/WKYvWBZpdvn0rJXddBJYk7RNlGVEU4b3HGsPR0QFlVVHVNWVV4ZwlzRKW19aI0wxTLnHzQcnl7ZJuz6MjgdRzod3J9vCUK7JhrmY3MN/YGTE03/A50ePngjLvTuiswocBFgAAIABJREFU8KgZaRaYL+EX7z15zOLubP5i85zOJGezX5xZVk9IsKqG2glKK5jUEbkb4EUPJRRS1EhvUUKghMV7i/MC50HNNnxB9SeatQlcoGg4P4F1TSNko0ZUqKY0wTGdFly78YDvvfYWjx49oq7rf8srvUWLFi1atGjRokWLvz6MpgXfuX6P3isJW8u9P28vaz7ndpOIZ0/1ufLgkNfvHrGUaQSCrZUOF9e6WOvQUjAwBd/+xtv0ux0uXjiNkJKr792mqh3L/Q69Tsov/sKrvH31Lts7uwiluPvwgCRWREmHvaMpOIOOUoQQ1PYIEfRhCKFxtsbWFVGSkU+OKYWHTo/3Dzx392u2Rw/4HzdjLv10IMAQKrARwjPcKdl/VPLMcymkisOxI6kL/otfkwzHhjceSB4/fMjO3h7FtOSzn/s81nu+9JU/pCxzRLaCz/d5fPtt7t/5aV751M/zyVdfZvv+PfYODzkYjfjtb2jSqMN/8Ms5qiPJViKyFQIxFRFUXCYorjwWOzEoH8QXIlJk65KLg4gLHlQEKlmYowz42oFrvDVa42PL9HHF0U7FWldy9kJCvwm4pyZcWgIhphR+WFCODcMCHj6oODoyXLqQopNGeTCLKpsNPbYOM5YPM9jjxxWjkWNjoPnKd8/znWspUkesrCwhpWRaWnLXZ3dkOaNrwGKqCiUUa8s9pkXNtKqJoiREFtkwb3nvsdaQlyYIViKNUgmlE9jxkGMnMU4gdcy/+uJX+fIffYOy/GiTYNBaI1v8NcAYy97hiKSTsjboIL0PVkX/NHsS+JBASBjrgrLzKTanMeqJYJXEWeqqRihNp5MSJzFKqeBfVpI0jhA4lI4wRoRa17KcZ4bN8sDmSiKYq8Fm5IxYuE2IJsRfBOKkLB3TwrG+GrG5GqF9Q/00JBhyRroIlBRkiWepZ5HGcDzNcCQkaUYSpSRJRpJkWGMYj4eU5YwIK8nLkkgp+oMeURQhleJ4LNCuZHPN0+kI1FwVJuaOxZPLGem04Hdc3KUsPLb5IRxET+S7i7bIeabY4vMyI5hmEq+5qbJpSJECaGyQC/ZE35yt8N7jnccaR1XBdOoZTx3DqWf3SLBz3GdYb+HVMlLJ2Ro2VJsH78JtgiZ8/2RbFwViYTMEogn2P9G/NaSdkNTGcng04vU3rvHtb32bx48ff2SC8VtrZIsWLVq0aNHih0E7T/1koigrnhyPObe2TBZHf+FjhAgCg16i2D7OkULwzEaPZzd7dJIoxMoAOEfiam48OiLpJDx8tMfewZgXnzvHi8+eDgVmSvJTL13gO6/f5N79HYoaKqsYTwusqYmiFKkUQkoirciyBOMVZTFFSk2S9XCmwJQjnJeknR7WQaoq6srxrTfG/K2XU3rBroFINUjQCFLvWXsmw/qYO+9NyTLFhUspn3xZce1azg/efsA0L/jEK6/yd3/xlzh37gKHB3s82X4chgwV48sRT26/w+WPvcQrr36ayXjE9u4eVT5FC83ecJWOtJzZKlFx0xCpgUhBtTBUKcGDeyXlxNEd6JCPLAUqluhUIFOBiGQYyKQCJfHGU48tUgmEkohYki1HbG4lnDobk21GSC3mMxYWfOXAC4SUkEiklkyPLM7BhfMJF57PkLEAG/YXZjZMh5wxf1RwuFNy+/2Sa7cKjM+4vv0KX/ruKrWTdDopvUSydWodhMA6QV5FVFVNqkoUlqw/IIqiMEtLiZSKSEfzydjVNTjLysoSq8sDkljjhSRNEqI4RiqNdY6v/NGf8sd//G+oPnokWJsR1uLDQ1UbjoZTOt0OK90U3An5dJIFNrMlBjKstm4hXL8R/DYMUwhv90AgzVQU08lSVKTDgaYJ8UviCLzDC0FVO4qypKqqoBBblH+JE8Lr6bMri0xdaLTUKihjnXOUZaiy3VqPWe7KYOsWja97rrwCfGgmjCNHJzXUpWQ0jfAiIUo6aJ0Qpx2iKCKfjJlMRtR1aJas6gpjLd1ORrfbRTb+7NHYs9Q1rC574rixSIqT7Wl22Mnlv+W2E7JopvI6IR5PcsUWfnd+ffFvnYTqzwkxKZufZ0H4CxJhH6qhfbiCs466giKHycRxPHHsH8PuQcR+fppKbKJkePNWUiKQJ9lfzuMbH6cUM9/6fEWbTV0M+F+kx3yzPoK6NuwdHPHmm+/x2muvsbOz8+MOc3wKLRHWokWLFi1atPhh0M5TP7nIy4pRUfDC+c1ATfwFH1UFkESaSMHBuGRaWfppRL+TNKICyTCv2B0WDJRnd1zxwgsXePnFi1w4u0YnS5AqNCYWZc3HnjmDd5a8KJlOc/AuFHq5Gu8cUiqkDqH5ZVkAnihuQvWFxKGI4iScdK4KaqfJjULbAj+acGEjoScBJRGxIk4lg7WEyQTuXx8zmVguXsxYWo9IU7h8xnLzjqVyq3z287/Aytomo9EYrSImoyGHR4eNW0Zi6jEP7l3nzIXnWVo/jbcVnViho4TDScmtuzUbmeP0aYuMaKyKMrh9mnPuAjg6tLx3Pefs6RgdyxNRgQIiCVIvBNwHh+TNmwU46HY1QgmEa8amGXGmZCgNk+G6KR352KLjkNkmtaS3HrG2ldBfjxBZs8xGbOAtUIUYH6SANORl1xU4scQ7D17kO9cGgGRpENOLJ0SipixqBr0eSkdYL5iUElNXdBNDnGbznO7FUPy5WMSWJElClGTIhgB1HpRWaK15/GSP3/u9L/Pd7/zgo0iCQUuEtfiwkRcVR6Oc5ZU+/TTCO79AM52QMqFV0WFcyPdyC8FPs2B9OWtFbMgwi0DFCWmaIKVqFD8SpRRxpOeKprJ2TPOCuq5PSDZ5QpQEzCVhJ1iwFDbHKaQAaz157lBScmYjohNLTsRTM/Lu5FupQIYlUU1eKIZTCTJDRilKxaRZFykEo+EheZFj6pqqNtR1jZSCQX9AFMWApDKSIvesDgyDHmgdjtlzMoyTZsQFQR1Pyb8WvOss3D2/Mgv/mpFhc+7wA7KzRfILMScsw33zlcL7EzVYEHIFIsxZj609ZQ7jieNo5Ng78uwfevZGq4zMGYRMiSOB1s1ZEharjsPfcM4hcCE/TJ5s23wXzNsuT7ZjdmA3znE8HHP1yk3eeuMN9nZ3P1IkGLREWIsWLVq0aNHih0M7T/1k43iSgxCcWln+wAngAO/DnNWJQ/LR3qiido5Tg3T+Gbkoa648GnJuOYWq5GBSsbG5wmDQCeHoSLTS7O4d8Wj3mJ955TLff/0GytcIndHLIqSwxBEgNJWxOFMiVchsKfMRAo+OQpMkAkyZo3SM0DECiReCwyPD7pHlY+cT+tqDUohI4YxjOjQ4BGcvpKydjVERiNqxlHm2VuHtWyUPt6esrG9xcDTk3PkLPPPMM7z73hWKIgcVIYB6usvO9gO2zj1HfzDAOcfh4RHT6ZjKJuwe9TnTm7B+2oYgepqAex/mBGfh8YOCx7sVF84kJF0VhouZ2UX58Fh7IoSQEu7dLTg8MmxtxcxHEyXCGBMLsE3APeHv5JXn9u2SLJMkaWjmnAfiR0CiwDRzlpSgBfnYMjy2dDo6iEESRc0KX3vrWb5/rYcTKZ2uZCnep5vUKG1C+ZxV9HtdhFA4JNNS4kxNN/HIRjXo8cyaSp0PSfzSWxItUXGCEEGY4LwnijTWen7nt3+ft966SlV9ZGNlWiKsxYePaV5yOC7Y2lwh02pewnFCRIXMppDd5KgbIsx7j2zIllnTpJRyIVDf4aUkSTukSYxozj4gJFprkkg37YCKvKzJixJrTyj7E5JkUaHWXH/KNxhUTUqGb4C6dozGjiRRbK1F6OaxkiCZXSihDWdgFMSxRUnLJNcMpwKpUqROUCoi6/Qwdcl4fExZlphGGWZMTZYmZJ0eUmm8F4ymGu88p9ZqOskC5zRn305yvk5WYqZYW7iN2dmkkxtOqDHRbPfs56DGCkRX+PbIhpya/RwIML+48AUeLdgiw3PtF0mwseNw6Ng5tBwceg7GXfYm53GiSxwrokiilAgtno2KS+Dn9kpnPd5btJZIubgVJ2ow2Vg1F19H3num04KbN+/x1ptvsbuzPS91+CihJcJatGjRokWLFj8M2nnqJx9PDkd477m4sRxOMDdNgbMP3LI54duJI2preXJcIIRnrZdQW8eNJ0OOpzUX1rr0E8XhwYipcZw9uxHUXoTP2/uHQ964coefeukiK0tdrt16SDdVHI5qlIQsTZgUljKfEEcJUidUxRhTF8GmGac456iKMVHSwdYVxfQYUDiRcDiV3Hk4RTnDq89lyMpiEUSDmGwlYmkzprsWIRMRmhR9mLFWO5bVXs6792JeeuXnWF1dZ2kw4GD/gNHhATu7T8KsIWOwhnL8mLqu6a9sAZDGMamSxEnKwdhx+37E8+tTBmtNaMrU4A0469m+P+X++zmxljz7sU7IA1vY1yH32AV1FwIvBNOJ5d7tnLJyXDiXIBWNmoIwomgXiDMX5jbvwVSe27fzUAC3EoUGytlsJ4FYQrEwVCGYFI53r+VsrEXoWHJ03OX/+spzfO/dFKe6CG2J2COJGnbOgxSGuiqwTrG6soyxHmthXADekkU1sxIzby1lVTOaVlTGopRCS49q1su6EOCvpOQ3/8n/wbvvXqeuF6RxHz20rZEtfjzY2Tvkm2/f5hdeucQg0ng3a9YIxJNWkjhSGBdsj7Vz1N4ipEAqibQ2qLKMwEqJqT1VXnG4v0+SdYjihEFfoiOBkAopJN1uh7OnRLDf1TV1VWGtZTKdAqY5wPinlFNCilAfKz3euebNwGM9lBa0FijhKI3n4XbOn3xT0Mskn3mxQ88G6atyArRvanBnElPoZp4Lp8cYv4+7E7E/1YBAxwOitMv5Sy8yHB4xneaUVU1dFIzGE+7fv0+n26e/vIFWEXjFjQeKzVVHJ5swOBFfhTZGAX8+xr7BBxPuZ8fURUHczOI5Yys5ufSL+6shyoQQT4vImn02vxQnmV7eu0CCVY5i6hkNLQfHJpBgR47DcZft4QUq1yPJFEr5pizB4RFEgEBiTCD7vAjhjcaCsRalJErO1s3P6Ug/36ygXPM+ELTv37rP6z94ne0nH51MsBYtWrRo0aJFixYt/iJY53jt5n36vS6vnNvEG7Pwkf3kJH6kFRfW++S14erjIfujnNo4SgvPbHTJYgXes6Lh/Su3UEnK5z/7cbrdDmVZc/3GPTpZSprG/P1feJXJJOd//ed/ilaKopZMyorpdEKSdEBqBJBmfS6cWeLRbkFVlThrSDvLCBzWlSHTV2mcjCmspesk//tXCjaW9vjHv7SBFCVkGpFqRORBQTV0vPnlHbLa8OLnVtg5NnzsvOTXfyXnLgVJusytWzd57+pVzl+4zNa583zpS1+kqkp8tkaVP+Hmu98iiiJWNp7l8sVL9Hpd7t+7i7NwMBnwz/4Qfj26xcbzHUg19rDkye2CR3uWQVdx8XKK7slgYbLNLKVmzhkH0wKHJi8c71+fMh1ZLl9s2iRnLZSzc+2VB1uDj+albaOjmqOhYet0dPIUzn4nMGUgopNBC49zcDCyHA8d03KJ3/z9l7h2T+BVhlKObnRMZRxCxfNoGmctrhpTWFBKc/7UJvlkRLyU0U9LnLAIL/DWUFUllYEkjikrS15DFMdh+10FUjGd5Pw/v/dnXL9xC/c3dI5qFWEtPhSMpjm19WyudEl1sLidWB5pSIpw3TofGiAdjZVNohrFk5SNwqdRMznvkUqidRyIEMFcshnHmixN5mdHptMpRVFirVtoFjwxFc4InqffTML1WdbVXBnmIS8Mw5FjeSliqatQDuS8bbEhg5quWyFBa0+WFCgpmeSeydTivMYLjWsyryaTEXk+pa4N1lqsMWAN3d4AHXdQUmF9xP6Rpp+WLPXqYJE8EWHN1V8nNNDT3/6DNy+8ceJP1Gzz0Pt5Fv6CLXKmyRYnBJl/6o+6p0LxvXXY2mEKy3TsGB4bDoaBBNs/EBwMB2wPz1K4Pkmi0NIh5SwQ34XFNfZH0RBrgVyzSGGIo2BDnb2GPmiJnCvTvGA6ybl16y4/eP0Ndj7iJFirCGvRokWLFi1a/DBo56n/f8ADe6MpaRyz2usC/qmpZQYtJUudmONpQV55Ti1lvHxuifOr3ablPmQQJzgePDlkaj11XfPOu3eojeeTL1/k9MYAgMuXTrGy1EHh2N0fMuileBFhTYW3FUoppNIUtcQ6h6lLojidu3MQCi8jVJRg6gJrDIYu3kNaDVnqCLZOJahMIeLGgqgEwycVd757zPpWwtoLXXb2HHdu53z6pwX15JhHhyuMc0uSdfjUZz5HEmke3b/D8WiIc6BUjC3H7O89ZPdoymBpjfX1DYqynMehHIwF44Mhz2xOyAYxqhvR30g4eybh9MWEznqE0DNiihBWbxpbpBKgJOODkgd3C6oazmxFnH82RacSYRryzDWP9wKsw01q6onlyf2SW9cmdDuKZy6lpD05SwE6ebK9w5ehjRIPeW55770pRyOBF6f5V994gRv3JOgOtYyoihFLXUukm/mZJg/bGiSGrJtRVp7RcEI3k6TRkCRq1FzOYU2FwtMdDOhkKVkaYzzEcUQURSAkhwdHfPF3/4B33r7ykYuV+UvQKsJa/PhgrePG/W3SWPLpy1tkWuNs+MeRUhAxC7wXTb1rTWksRWUaS1t4XG0CqSWMReQF06Mh+zoKB1nW6PXSECQvFUIIlnopF89uIPBYU+Os4dH2Hnnhsd6FZgxgXkmLwzsJMjRFzr6c91SmUbc2ZFhpPLcf5nz1+8d00hUubWp6NaRWoDKPjwNX5JtoK60F/a7nwqkDjJO4+57dY4NhicppdJSytrbBaHhMVVUURUFZ1ezs7BDHKecuarq9JaSQHOcJf/Z6B8WUF593dHoqnJyYi5qDUmtGyzWtAIGUChzSnPQSM1LLB0LQN4zaYpyYX7gODfk1S5LkpI2ThWWFg34gwVztqAvLeGgZDi2HQ8v+0LN/KDkYLbM7OUXpu6SJRCt7YlH1vpEP+xC+KQEdzsAIb1GRIdKeKFILGWHNKjy1PkHBNs2n3Ll9l3feucLezjbGfKRlvC1atGjRokWLFi1aPIXRZMo3rtykl8acXuohxEIpGSenpdNI89ypZW5tH/P4uKATa5Y6KUKq4Lzxnr3hhF7Hc++92wy6KT/9iUtkWcLqchchBLVx1MCnXn2OB48PiPU94kjhfE2koJvFKB1zPDFYUxIpEHFGWYwR3pP1ltBJhtQxppoivEfGXaxUGKm5umP5X35vxFEd8Ut/R5J0JMgIHPRWNec+3ufUuQjrFfnIUlQeL+HVj11j+Kbh1pPTyGSN7Uf3efP11xh0e3STlFE+pSTBq2Uoj2H/BtPi06A0W+cu8PDeHabTCVIoXrtmWU2e8O//w7P0trohMywSweETNSH6Tc6Xl47qsMLmns6yBiXon854YT0NafmxQCSiCdEXYb6sXCDEUgmRxieWYlJjrePchZSV9Yjeugqzl3EnxFkkAAXWUE9L9o8cDx/XPNh2lO4cX37tWR7txyS9HgYN9Yi1FUukw8l/5/w8o9sDWgq0dHhd4AVoWeF9NVen4T0CF0g0GQZYJSXdNEbKMCPu7x/yr7/yp9y6+f6H+6L/a0BLhLX40FDVhivvPyHRgk9dPouS4R+URhmmpUdGoalCSYkoKkpjKWuDakRISgjUTPWDoJzmDA8OUVoRRRqtBNFMGSRDu0cgw9aDJNd7jDU83j6g9I3qTEqkczQhU4H6ci6QLo75wcE6qAzokFOIFIJp4Xj31pRuR9H595ZxHY/wijicIAhBh3NbHkQRLA9qLvkjrFWUZc3dR4fklcbLmKzTZXV1jbLIsdZijGFalNx/eB/rBefOP0On00V4y3bh+NYPLJGseO75iFRo1CwLzJ+QQHNVlg9NjeGbZr8rdCwRijnJNVdRzRRVM4JNnGR9zaytzVGz4b78yc6aK8E8zjiqwjEa1RweWg5HjsOh53Ck2R9tsDfdoLRxE4zvA9HZ+OZnZ7lEc2pEUuOlQCuHkgYlBVqFqt+nHaEN/dcEXno8eVlx985drl65ys72E6qy/NG9uFu0aNGiRYsWLVq0+JAwLSu+/d5t/uPPv9pEuviFE+ABHuilMRfW+7y/M+TO3oS1fsrGUhacLFKwPy7Ia8eFRHP97Zv0exnPPXs2KMZkmC0yJNduXufnfvYljodT3r56F4kj63Y5s9njwZMRRT4hSzSoFGyJllBXFd6Z0NRe5SipkCqhGO0hlUL2V7k/7PHoaEj5pX3WlySfjSRqYKGXEqWSyy/3mI5qbr8z4mCn5JlzKUmm0Nrxmedvcvf2Hf7lVwouvfQ5qv+XvTeLse3Kz/t+a609nrHGW3Vn3su5m6LIbqnVklotdVtyJCWKIsuxhCiJExjwS4A8BAiCPCUPeQkgwEYQW4kMBbAdG7KkxK2WJUE9kGKTPZjNmfeSdx6qbs3DqTPvYQ15WLsGdrcRGlKzKXH/yOI5deqcU7vO2dxV69vf//vyjPGoz2wzJi8K8rKkkKmfICnHXHvjeWbnT3Hh/CVm5ubRxZTN3T321zZR431mmorP/PxZwrnEL38Uvp0ss8cRM6GklJIrV0Y8+2zbh+gDQjhIlQ+4D+SJtRKAZHd1ysxCRKAEKlR0lxTdRfzzBvjHFQKQXjTLTGXSkIggRKaWVFvOLEum7iLPvf0QWz2FjJs0Ww1CWZCNDwiVxlpv6CiKgnFmsAiSUNKMQoQtiAKBQ2Od814QZym1X/QqoZDCITA4/Nhr4EeuyDLNF7/wx9y/d/+D2MW/79RCWM0HSlaUvHp9jSRSPHV+2bt+bOUMOxxLFFUdIkBeUBpLVhhkJYKpQ4eYAFkI8vGU/l6PMApJ4pAkClBK+I5B4W2r3XbKxTMLSBzGaIpCs7PXB22wFqyQ+PZBicUiKwXfVmLYoZhiLJQGQgXKQgn0hppXr4xpNQN+9hNthNV0pCIOnJ8Pr8YjDzO1otAx08m4oA+YZI69fUdvH4yIQEV0ul3y6RhjNOPxBGM149GYlZW76LLk7JnTpHGAYsraVsnLr2bEoeHC5ZRECh/MWLmpjkPlLVZbTGHR2lZuN4GUlsgGhIlCqiNj2JEjzB05w/zZBHsofHH4++C94ld1J5+1ph1GW/LMMhxp9vqa3X3DwQD2hjH7o2UGxSkKFxCElkD5IMxDqzZw/NtcHA6oOgIJRCBQx2Oszr1XB6uC9QGctWSFZu3BOu9ceYfNzQ2yLPt3JanV1NTU1NTU1NTUfOjZ7A342ls3+NRjD9GIAmx1cvoQgT+xPdNMODtnuLcz4vb2gHYaEocButD0JxohJM1AYicDXn/lXWY6DRqNFOEcCEcQKA76Y+Ik5Vf/o59kc3uAkj2mpeTu2oDpdEIQhDgZAhCEEQ+dO8/G1j6lUZT5BKlCwjjB6hysRkZJNTKpkNZxd0vwj35/n1MziocvN/wiayYh6IbEzpEMLU882WTudEQQS0Rh6KSOX/5MzltXe7z44pdozZxCWIMzgmYgKY3004xBi1wb9nYe8No3/oTkZ36FRqPJ+sYG/d4O7fYM97e3eOmVfbpNxTOfO4Nqh9VrWeJzYqrX1EEQSda2S87vac7EElM4VFsiVOUgEwE4c7w2CgW9sWNrb8LHnm4igipAP6ieOuL4eyh8IL2C7fWMU2diVCQJQkV3NmC7f5GvX79Mb2AIkoSizMnGY1wwQIrSr5aso8x87nQcpZTGMc4NURijrEBqjZC+xE5rzXiSM8kNQknaSUSQSAJbIKTFOolFcuf2PZ7/yvNsbGx8n/fqD446I6zmA8dYx/rekHYzZLbVrNoh/cHaT+lVDZHS17gaY9HGC1YCn9MVSImsssC8DuIotEMFijSNCcMAJb27TFT5UnEYEEUBcRRSasNgOKEoSpw9dFFRbcdh2NZRbBiI4yYWPw5eNU06ME4wnlp29jVz8zEzLYW0Xj2XgUCoatzQHdqrpG+SDH3zita+RngyLrHWoIKIIAxw1lCWJcYYnIM8z5hMRlhTEIcO4QqsLckzw7Sf02laGqnyB+FDXcp4EcwUliIzZGP/UWSWsqzGPy2oQPptrV4rL4Qde6zdCWfZsehVWXctR5fOODBgNZS5YzoxDIaGvYEXwXb2YX0/ZWd0jrFZxogYKS1BUDU6iiPljePRyxPxZIfXT2S5fXcuwnE2mDWOaZaxtrbBa6++xvbWJlmW/eXsyB8AdUZYTU1NTU1NzfuhXk999HDAaDylEynmu62j/OPvRAhBMw5xznF/f8rBOCMvNXe2BlgEjyy1aSUBkRCMh2NWdkcsn54nikKsdezu93n3+n3m57p87LFzfOrZh2nEIa+8eZNuO6HdajGZFpRFhhQWqQKGY4NxAl1MkSpEBeGRy8zJABUmtJoNlhcXGRX+5HlMxqQ/5tELDRLhvMDUDAmaAZ1TEa3FCJVKnHHoHBAQS/jRj4W8ezendyDJCs209LlhrWaDcZZjLUgVIE3JuL/Jvbs3uHHjBttbq5xZPkO33WaqQ9Y3d0iDkpZ0zJ1KkHEAosrnqowR1sKD+xmb2yWLswq9OWT1yi6zZ5uoqHJK4EAfjdUA0N8rubuac2YpJkoq0asygBFK345pOXqMUIKX3xghgNnZkKIMeP3aef7g+fPs9h1B2kC5XQIOKIo+QWVvstZitcYWExqtLo1mSiON/f4iJFEUHU3SWF1SFjlRHDPb7RCGAdPSEEYRQgZYBNbB/Tv3+fKffYWtra2//J34g6HOCKv58JAXhm+9+wAlJZdPzaOEPBrnkwBS4AJJ4kJf0ZpbCmMQhbfxHo1PSgvaIIqSbDxhe7tHHMcEgUJK6cMghTx0pdLtpFw4s8hoNGI6zbh2a5WD/gh96F89nJG23p1UxYadCO131Ry+b+wwEu+Aco71nZI/fbFPGs7x+BmFGllEKAmV8CcGhDsaNZQIIuVYnJmzW4LsAAAgAElEQVTy6HnBeCS4klv6Y41FkyYxC/OzaO3bLvM8RwjBZDplbWMTbMHy4gxpIhkLycq2IH59irNw+nxEmEqUr1DEakeZWbKxYTws0aV3hAkJUaxwLYcKfesm6vg9cohjMazK+qpmI6uvcxTmKJyo8scE1jh06ZhODYNJlQfWs2zvwYOdJv38NEYtIFSERB8F3J9sSnHHG3FsRT4yfR8LXce+4++88CLfZJJx7/4Kb791hZ2drQ97tW9NTU1NTU1NTU3N+2aiDV+/vYaMEx4/vchhLMp3IoTg7FyLUhs2BjnGwlIn4cJ8k4V27Nc2DjoB7G9v89wLb/DJTzyGc3Dn3iZLC7M8fGGRQAnmZtosLS/Qaac0E8XuQGNMSRQ62g1FZgRZnhNKi0pSsiwny/Zppk1k1CJptJlpNZnrtNjY2UWIEBE02JtaXryasV/s8d/8nXnmZx25kzRPxchAeOXCSdbeGTFaHXP2sSZZpNjrG/7Hv9flN/9ZzmvvGs6du8SlS5fZ6w2YZm/SH08obYRQbaTpMz7YYFJs0J45DRiGU2h0lhhkO7x2fZe5do8oVlz6xAJBJ8Bpjc1gMrYc7GvevT4hjQT91QHZ/oDpWLN9dZcznzyFUBKkAcPRqM10bNjaKqoRQ06sefBrKa39GJI7XohZ69AWVjcKTi+3eeWdZf70W/MMc0HciHB6C8UUqSCN/QjjYRSOc5ZAQhiFRwaPViPGWB9Bc7h2dVYTKYjSFKSkGcRVJrNASAUOrrx9lRdf+Ab7+3vf5z35g6d2hNX8wMgLQ2+c0WyEzLUbx22GcNyASBXgbitnUxX4JxAEShJIcRTwftg0axxIoYijiDAIqswp/+QCCMOAMIwwWpMVJeNpTqnLI7fRyVMpRw4kIQmCkECpqjnSC00+lF4cNeoOJ4ZJ6Viaj2lGgkCCCnxe2cnw+cOLQDri0BIqibWO8UhTlgYhJXEUoYRgmmWU2uCcwxiLsQatDVEUEoSH9buOojDYrCQJ/Di7t8aCLhxFZpmMDJORocgtpnQY7R1XQSCJIunHIwNRhee/9z04DNn3QqFAOImr2kv8WRJRiWCgS0eeW0ZTy8HQsLNv2NxxrG6n7E+WsGoOGUZ+/vywCfIoHP+Eo/so9fPw7Fblwjvx7nxnw+fhNWst4/GEGzfu8PZbb7Ozs43WH952yH8XtSOspqampqam5v1Qr6c+umhj2R2MMMCpbuto2uY7kUA7jShKzWBa0opDFjoprTRGKYmUgklWkhcl+XhKZgWLp2ZYWpzh0ctLLC92kVJgjKXTSpnptrh5Z4ODwRiHopnGlFYxnuQ4qwnCFIMkDiwPnVvm3NIS+8MJRpc00oSD4ZhmI2Vpfp4sLyi05mDiuL+VEWB47HxCKMBYQdgKEAFgBe+8sE8xLDn78SZaBXz79SGPXIh44jHF6rqgEAsUeclBr8fy6TOEUcRgMECjcEIQupI4cJSlY78/4Mz5y3RbCVJFPFjfoRXmqNLQjCTt+QYilLjCMj7Q9HolcSg42B2zuTki0prT8yHdyx3ixK8ZkRJXGPRAs7eRc//WhP6B5vKFmMXT0VEOtada/GjjXWTSr6fWH+TcWSloJDE3Hpznq6/OMyxaCGUJzDqhKhGSo7WRNRatNaW2COFjysIwQMjgaIJKwlFsDs4hnCWUIEPf8OmL6ySBCpBSceXKO3z5S19l0O9/v3fh7ze1I6zmw8def8I33llFSMljSwuUuQ9UPNSjlPCCVxIGvrmx8EJRJg1BrpFSEAtx1IbBRNLvDRDV2KSUilYzQSpxlFcopWB+rsWjl88xmeYUpeX+6jqTaQbWISzekeaEd3Hh3WBeBJMoFEpYhPSZVc5ZnBA4LJPC8fbNjPmZiHajRRg6VOSIlUMCQnn3lBD+aKRwtNKSh05blAuRxnLtrmVYgggSZrstJpMWWZahtUIphbGWSVaysz/0B7hWhBQQTODehkYx5RHtaM9bwlSBgTwzTMaGvHBY40sDpILQ+utHAuB3CIGHjZD+zJI4Fr+gcm4Jb9iqigeMdhSFY5pZhmPLbs+ysQOrWym9yQIu7BKowBcXHE5Biu+V8fW9cc4dHfCPz3YdP/Kw6GA0nPD229e5du1dBv1+VcpQU1NTU1NTU1NT89eP/iTj2zfuo43lRy6f+67gfDguwtLai10PehOaccB8O0FWQkgQKO6uHvDUhZCdOyskccCzzz5Op50iVYgAEhmwsX3A0uIsP/vTz/D8S2+R5Ya1nQlGFwQKnEhwrhrLbLSJ4wa9cUkoIY4DDgYjHIIL58+xu7PFwWhMEiimk5JuE/6fr2WEYY+/+0sLxM761jIrQTke/WSHycqYqBuy/UCDgWnu+PgTCf/V39L8b/9ilTu34eyFS/zEZ36ajZXb9PZ2ORiNKUkIhCaRY2IxZVLEDId94qBN2pyj3TnFK9dv004VwmzTiCQLTy+gmiGzUUDSDnjrG1vkWU4cSToLDRafmSc510CgocwhSCFSqAYkU8n8bMCZczEzpyNkUDWwlQDVNE7gs2nstKC3p1nZMqzv+Byvd1Yf4tpqF6O6DKeGgC3CpsE5HzDmnMNpzWSSMxjnWCSNJKLbDHFWo6TCIasmSj+COs19llgSCpTywqCTEQ7vGFNK8dZbV3nuK88zHo0/4D35g6MWwmp+oDgHvcGUr711D54NeXi+g8411h66f5xvi5SSSCmMshhjKUtNXp25AEGIV7mty7DW4ozGao3Wlgvnlmg2E6++uypwXUlOLc7y+CMX0MZgjGF1zedHGfyIX1U46MUzqmZLFSCFQ2K9CIbDYUFYnLNY5zgYW154dczibETjYzEqNMhQEFYZY97E5IUgKSEMBe2W4cIZi7QKZQ3XVjVTY4miiKW5FuPxmFJrrFXehGUdw3FGrz8iClsECCbCMVaWnV1NJB3L05i4411eReHIp9a7wJzXnsIApBKoQKBCcdRPcJTNJU7m4PuMM3H4Ux/ddiiC+ZFIo6EoHKOJY7dneLDlWNlqszPoIqMucRQTBNKPXB6GfjnnQ/gdR899UiA7voETIli1fbYS8Zx/H0yp2e/1efPNd7h5/QZ5XnwwO3JNTU1NTU1NTU3ND5BCG66vbfP4+WXaUTUudyLSZJqX3NrcZ5AZpPJ5ULd3RlxYbDHXTHACRllJaSyTXEMx5q3Xb9DptpjtPkp4mB+PoNNq8sUvv8Kv/MKP8dD5U/zmP/5DAnK67ZhRLhiPxzjpmJ3pMppqhpNdBI5HH36MldUVpDJYa7l15y5ZnhEqRbPZ8mYGRmhb8NzLPZZnBb/0eYFKHLQTiCVzF1Jm5iIOtkpWrk+YaQUsLoaoSPKpZwP+y/6Ef/h/axppws7qHQZb93hyIeeNHKaFIpdNAjQBBUL3Wbl/j5nWU4QRxI05ttZvcuVuhsLh/nydzzcjWhc75CPN1X+7Q6+XcW5OcXYu4tTjs8QLCagqaFkUMM0RaQqNkHYS0D4LSAfq0P2l/DqmNDC1EElEJBHNiJkwQMSGZkvy1VfP8uqtGeLmErkRSHmAFAZUiEWCrdbF0zFSSM6cXkBry95gSmEVkYhwFgQW5xy6LJhOCgokhXYUOkC2IqQ2BKJAiABtBa9++xVefOElhsPhD2pX/kCohbCaDwWDUcY33rqDePoRLi90KLMCbbxn1DlXBel7d5h3/TiKUh+N1VkgdCCddwQ5YzBlickLrDacP7dEq52iAukdWViiUHF6eZ48LyiLgrIs2NjcIS9KvCrjc8u8m8g7v8D5IH8hfQ+kc0hncRhwAicszsL+QPOFFw6Yac/zI0lINHVebArAKceh5+3QFRUoaDYc586UYAzWGu5vlUx0Qju1LM41yAqDdRNcAcb6mtvBKKeVKhIVIkJDKC2BtJg8o78HaREiE4EBtPavm8SLb1EsiBNFlCqCQyHshBvspN/qUAjzN/iRy0NDlrP4hk0NZQnjiWW3p7m/bnmw3WJvvABBgzhJKxHMP67Sr47suYejse8xpB3lh/nXyx09kuOsMutwzpBPp6yvb3LlyjVWV9bQus4Dq6mpqampqamp+egwGE/41pUb/NgTl5hpJAAY5xhlBfe2e4wLR6gClBI0QkU/K3nl7h6fuDiHto672yPCQDEtDaVxaFvy9ZfeotlKefKxiwRhiDGWuysb4ARlabh8cZkfevICt+48QNuAcjQmVJblxTbIiOFkjNUZaZqw8mCFJx57nMl4xIONDSZ5TpqkzLQSsjyntIo47lCYMff3BP/4X4+Jw4j/4DOCKHewkEAgKbRleKBZWgpZPB3RmA8Q2iKt4+d+LGbQl/zJN1fZvrPGnFrnyfMbpDLipZVZSh0wFR0aHCCkpcx6bO5sMtuKGfZWUIHj7npOEglaseCVFx7w5CeX2NorYDrlmYdTWo2A+FyXeC6plibVWfogBHIoM0SUVE1wrmqHlJBXboPAgQwY9nOKgWbuVIQMBDJQ2CDm61dneO1Wh7R5hqjRICh2UVGBNn7U8bC3DGcRtqAzu4yQiij0gpy2DlflZDvnsKbEljntbocgijHGcjDOsEJhVYBBgpBcv3GDP3/+BSbjyQ9oD/7gqIWwmg8NvcGEl9+9R/DUw1yc75BPppSlOWp1lFU2l63EKW0sRWk4FEis9fW+1lLdx/pwQ2Mw2nD6zCLdmRZBFCCVQgJpHHL2zCJZXpAXBUWes7t/QKn984LEVSq6cxZrDU5KhFRIIY5G8UD6AxEWi8Ya2Nwt+b2v9mg3F3g2VUQlyBBc8N5UK9/UKAiUJY0dp085sqmmKEo2DwzWKGbbEdOihbGOgXW4KjMsy0oGo4KZVNDsOLoNy1wbZtqCONJgFRQSbS2mMmDJAOJEkjYUjVZI0gxQ4XszzA7dcAD2hPMLe3jQFcdCmPNusFJ7EWx7X3N3zXB/u8nuaAFUmzSJCaMAeSLTywtfJ0Sw4y8dBTuebPD0jzkhiFXuPmsN08mIu3fuc+3dm2xu7mDMX708sJqampqampqampq/CNbB7e0eKgz4zMceIZKCg3HGg70h2kouzDdIo8BnDztLK1HsDAtubw1opyFp9fd6XnpDgnCOye4+zz3/Bto6lhfnWN/a58rVe1w6v0inldJsxPzXv/43+Cf/4stcfXeFNJYo1WaSCw6GfYwuiMKQvBTEkWO+G9Nuddg9OGAynfi1llBM8pJWmpK2W0wGu1gLq3sT/uG/2iaKJX/j023QDrXYIJ2PuDAf+bVEgG9BLKp1o4Rf/EmJYMwrL+8zF+4QR5ZPPKzYLFtcX5tQWBCiQ0ifsiw52L5PU8wjjG+Xt9bnKHc7IaNBwdVXtzh9rsnlJ9s0WzG20yBoh8dC1+HiybeRQVlAkUMYexFM4V1j+sTCRkKG4MbdKc+2FI1WwM6e4P/9aovXbs0hwxTICOwYKYY4AaGQ1brMYp0FawmCECXAVgJZHAUE1iIRR4YDrCNUEEYR4H+2TtMLpUopnFC8+MLXee3lb38kRDCohbCaDxHOOXb2B7z87j3Cpx/h4lyb0WBEUWjE0YikwDqJwGKco9DmWOm2jtD6kT9btTo667C2h7FgrMMg6HRbBKHyYpaCZiPhwrnTaGOYZjnT6ZTRJDuxXV5ks0ajhfCWXakQKqhyyLwDDWER1uKMqMQhw721kj/8Wp9ua5aPpYLAgDASJ0/kcsGxM0xCEsHijODsXEGWW/IyJg5CFmfS6jjmGI6n6NJQast4qil1RDe1LM/AbEvQaQjShiBIFeMp5CMQwhLEkiSRNFsB7W5IsxsQJgoRHAZ28Z6f27utTo5AUolg1SijA2fAGEeWG7b3Cm6vltzZaLA9WsKpNmkSEkX+zNPh877nyomMsEP31/HloRAmKhGMyjXmKvHTMBmPuX7tJtev3WJ/v4cxR+mTNTU1NTU1NTU1NR8pjHXc2dynkazzxPI8670RhYGlmQZLMw0fpu8ca/sjAqVY6iYMspL5dkIgQVtXTeGAsJZyktNf2+Sb3wz4iR9/imYa8aPPPsLSYpd2IwThmJtp8uu//Bn+KPm3bGz1uLXSY5qXJKEjI/RByc5RasOVa9dxIqHf7xMIh0Wy3x8RBSHGGDY2N1ESkrCBVJq9keO3vnDA4gw8/VgbMSqgWwlMgYAopNjNufrcHrPzIWcea3JzJeOzPxKzEJVcvWIxSrLaC1lefoid4X12DgbkLkKqNrEdM8k1iw89Q0M+yttf+z2efSzl5z7dZWkmoCwMjXbExUdaNJYaiDBGRlXD4+FJfnHoEBB+qiiMgMILYjKiGs/xrghzMt9YsDcwjEaW6dTxO19IubExR2FK0nBCHAxwWh61OFqrMcaSFX4dGIeSNIjAlSjhywC8Y0DgnPFFc9Yhhc/+Es54V4QQhIH/GYajCW++eYWX/vxrWPvRWUfVQljNhwprHRs7Pb519S6NTzzOqXaL4XBMUWgvzeND8LURYC3WuiPXmK0+nHMEVmGVq/LEDHlpybSldHDaOtrd1tH//FJJWq2E82eXKbVlMs25eecB1mkC/EimtRZjfM1sqQ+PL5IwjJAyQEjvFjNGe2GuGh3UxvL2zYw/+daY+ZkO5yKHivCh88caj3+AtThrkFji0NFpOFpRwYGSTKQgjQOW55s+XwsYT3KfrSUjStlCxiFxMiKKNCoUJGlEezYA4chLgcMQpZJmS9GZiWjNhISprFotxZEO5rffHVlunalcW/b45zo5FmmMoywt+wc5N1cLbq6n7I1PIcMucRISRb5pU8gq86vKAXtPdTCHDZ3vbYL0bjnpRbAqsM35dH6s1UxGI65fu8nVK9fo9wffsy66pqampqampqam5qNEXmreuL2CsSVPnTtDb5TTSSKUlAjnsEJgHAwmJZcW2+z0x7yzdsByt0G7meLwJ+2VlAynJUFhECvrvBJHfO6zP8zymQ5pHOKkD21XErQx/Me/8Gn++e8/jy4nnJ5vcTB2UGSU+YRT8y3GhWB7f4TRPUyZEUQNwtCLNKU25HmJdbBw6jQXL1zkzrXXsNke/XHJH720T7uheDQNcPMBgqAaOzQMtnIe3Jxw+twMYTdglDlureR88tMLHEwMX/r6Huu7W4SdFeaaEYNxQF5qChJUYGgmMRcf/hjF7k0ev5Dy8z/W4eELMUkocWGDxfNN4ljCVOAawdF67IjDCBnpwPr2R8IQbAHFYTgzoDUOvwbVpeP+/QznYG3D8CffarI+XCBOvPhoqskh6/D/sRZTlkzGU0or0E6Qa0XQTggNBKLECeUznY0my0uGU/96NhOfVyZdiUDikDgBg+GEr/7Zc1y/fv0jJYLB+xDChBAJ8DUgru7/B865/0kIcQn4XWAeeBX4L5xzhRAiBv4Z8ElgD/g159y979P21/w1xFrHg809vvXOPX7mhx+h1UwRIqMsNFLYqnFQIIzACOudXtZCFQnlHBhlkUr6lkfl58in2jEuNAfjjAvnl5id7xIdjutJQbOZcP7cEtoYsqzg/oMtstwetU8K4cctjTXoMsc5i5CCKE5QMsKaakyzGht0CAyacWb5+usjFuYUv/a5FnOxQwTyhDWqcq4ZgzEWrS1GW5w2SGcQrkQ4hRKGVhIRn+oSRw16Y0sQJTTSBt1OA5sGTMUWUzsmsg4rJFEi6XQFRoBUEDclcUvR6ASEsfQC1XsitxzOeDHRukMxTHgxzODdbv7e/nisHXlu6fVKbtzLuPEg5CCbJUyaRIkiDOVRCw1wHO+F8ydOTt585I47EYwvZBWaWZUXON96WZaa0XDAjeu3eOfqNQb9wftqnaypqampqamp+aCp11M1PwiMtVy5t0Erivj4+WX/dz8+M2xaaKaFJpB+PXCq22BSDNgZTIlCRRoFHMaRlMYyyjULbcPO3VVebUR89qd+iDjqorVFCocKAh5s7NNoJHz+M0+ztz8iCmC7P0BJWDrV9tM4RlJmU6LAEUVtdJkT4njysY9z/c4dxhNLKCTtVos7d+9yMCpIgwYHkyl/+nLJ1kGf//43FJe6McxU8TRYZk7HXH68Qed0hDaC8dRinWS/Z3j3Xsbado6ML7J84Ydo9HsYo3nQm2LKHJUscOmxR1icn+PevVU+8/QMS4uKVjsiTULSZkAIiAk4Ci96zSf+W8NRyRhwFBWGE94FF0eYgynCpAjhHVllv+Bg4Li3UvBgRzOcRvzWiwbSWZI0IJCSdjNGWwdSeUOAdWANOhvTaDZJW22fSz2cYJA4GXrhzIEzGlNkmNLQbiQU2jIpDHGcoKxECYMQMJ5kfO35F7l65eoHvGd+OHg/jrAc+LxzbiSECIGXhBB/Cvx3wD9wzv2uEOL/AP4e8FvVZc8594gQ4teB/xX4te/T9tf8NcVay921bWZaDT79xAUajYSJy3wAunCVGAbCAMKLNhaHrgQx6yzKSoyUKCuR1ofY5wZ0paCf1Y65uSZJHCKVRAYBjWbCubNLTLOCUhvWNnbJC30iw0pWgpivqs3zjCCMCKMEKQOvruMdTA4/bmiN5mBo+Oq3RiwvhPzipxNU6BDhYUuiwFqH0d5ZleeWycQwHhvK0qKrnDOEIVCaRjNldmaOTC6hmqdIGx3SOKIh9hmLBMoDbJETZiXzFKSppbQKbSKSFOKG8OH4VcYZ1lW5YMelALYSnKyrxC9znA/m8NurtSXPLL2e5u5awZV7AbvjOZxqo1SIOKyhPDxjIjh2f4nDT8Tx74rvyAOrXr4T4foC6xxalwz6fW7euM21d68zGAxrEaympqampqbmw0y9nqr5gaCN5crKBqe6LU7PdgAvgvVGOVGgmGvGSHwW83K3wf29Eeu9CWdmGwCMs4LBtKDbSIhDBc5y+527tFoxTz/9KM1mkygMcA72dvsM04Kf++wPMRhm/P4fvUSiDCppMC0N42lBURQIZzCqgTXQaYYM+n1WVu8RRSGDQYFzmlu3b2G0ptPuEqUJZrzFpHB86dtjGpHmf2gqTj3UgGYEMkQ1BE98doHx2HD7rTHjsWOcFfyf31jn2o0+SEHSlD7TLE1pNps8GrXpHfT4+Mef5tzZi5hsiIoX2JeXCeI9hoOcqBERhtK7vIQAC9NdiKVEzVovhp2cdDmcYhGAdRQTx823x6SMuPSJRUgCwhlFokvm5yN64xZffV1xe23EhYccMf4pw0ARcGKSphrVUdKRNpoIBFIJOs3UG0JEZcbAgjU4k9PpzqPCEID+KENIiZABFkFRGF7+1rd547U3Psjd8UPF/68Q5vys0aj6NKw+HPB54D+rbv+nwP+MP3D/cnUd4A+A/10IIVw9s1Tz70meF7x7d43ZTpMfvnCKxFiyqQN8TeGhUwi8K8xWLiZtLbYSTWR1m3QOYcEay76xFMb5+yCYnW2QhAFSCoIwot2GC+eWyPICa2FzZ5+80Ghjj01cwgtdZanJ8/xICJPSIZXzDbnV/RDeVbW5Z/njF0YsLwR8+qmQUDqQXsAzxlKUjixzDIaW3d2Sg6FmNIVppjG6BBUinCRWGQudkPZyC9u6iAs6gMRkHXSeMqWHlFOUHjE/3WS21afRgMEkJc9iVJQRRAah/GviQ7csCHfkuNKld6ZZ63BGYPXh6KkfhdSlJcsdg5FldUtz80HA2n4XLZqEUvmTFoeOsuqXwXc5wKByejmEE98lZomTv0jwbrCyLDnoHXDzxi1uXL/pnWD1oaWmpqampqbmQ0y9nqr5QdIfZ3zj3bv86KMXOL8wQxqFBB0fNxMFCucsxkIUKE7PNFjZG7F5AO04YDAtmGs3OD3TREp/kjs2mrdfvc6DnRGPXj5Dp9VgbXOf++v7fPbTTxKFip/97A9hreHGrVVeu3KfwdTQbSdMp5AVgHNICTJIiVLH9n6PxYVTzM3McjAcIwQksSAKFYPBAaEICVWbKLI8/0bJzO/v8t/++gLdeQMGRBIgIih7FuEgyy3/8k/32N8ecqoDQSjR0zU2773EmUuf5fz5yzz5zKcpnSQME3b399np7xC2zzA0iqtrIXqwycxgjp95OqcRGrQ2jMaaws2wufYE58RNopmyWvRVnHCG5WPDrTd7vPF6jziSNDsxSw93EUlAeyHm9rrky6/HrB9IRGjY7/WI4og4jv1EEqKKg/EmBeFABSFSHBeNhYFE2cMcZouzFuEsUagIguMNa6Y+JF8Iyfr6Oq+//jZX337n+7vjfch5XxlhQgiFt+s+Avwj4DZw4JyrhtF4AJytrp8FVgGcc1oI0cfbfXf/Ere75iPCYDTh7VsrLM11ON9JMFpzFKtuQUnfWgiAFUcOq6MP64Um8AdFZx3GjumVmlJrtDFYlpmdaRIFAiklQRgyM9Ph4vll8sJQasPewRCpDVpbb1O1h+q8oChK8jwnSRRCSqRUSOX8tlC5voTAWMPN1ZIvPDdirjvDExclQhqss5SFZTKx9PY1u9s5WzsFu33Ldt/SH2qQgihWBMLRjgrOzcHC8ohRAhObUpQhZZhShg2c7qKDESOVsZNFNBs3kFIThiWD6SJumCDUgIgSGTgOjVu+FdNR5pYiM5SFF7yKwlHklkJbjAFjICsd48yxfQCr2yFr+x2muoEMAK2RShIoiVUS4Q4dwl7wOm6nrHzE7nhU8vivu/dURQIOXWr6vT43rt3i+vUbDAa1CFZTU1NTU1PzV4N6PVXzg8IBm/0Rr95dY2lujiTgaEwyCCPKskAIR64Nhbacn2txb2dIqASn51peOJPHf5sHUiDKktvX7nPnQY/L5+eZn2nyuZ94kicfPo3CgIDPfeYphHC8+O3rLM82aLSaPMgtphzQbAYEYchgUmC0AGfQZYFF0u20GE8mWAsHwxHOOZrdLo0kYbSvMW7Ml14ecmrW8hv/4RJNCyy1EHFAd1ny2rWCL35txHhYkuuASWHoJBKcZbB7A+tC4miOB3deZfmhT7B84VHi1jwLy+dx5TxmNM/KQcTOYIbHxKe4MZ5wOXwOkw8BR7txQIFJEOcAACAASURBVL903F75OI+pK8hZg3CuWtv4NaLJHe+8vMe9az20bRC6gms3hzQbAc3lNq+8LfmXfxaxO0wJY0d7Zo5sOmF7b0Cr1aCRRATSYY1lPC3RDtIooJ1GCFuiQlkVyPk5JGsspTZY64gUSBmgMNhqoRcqCUIwGoz4xkvf4saN2x/5ddT7EsKccwZ4RggxA/xr4Im/6DcWQvx94O//RZ+n5q83zjnWt/b5xls3+aWffJpGGvsgv8NEegFIf2ATwo/yCSlQ0otaSh7mYInKxeUtwtpkDHZ3Mbr0IffuLLMzDSLlQyGjOGZ+fo5LBrK8pLxxl9EkQymHND4431i/fQhBWZaEkSEIwup7weGYIQRHblptLK+9mzPTHvN3fr7FxUWJLg3jsWW/p9lYz9nZzlnf1dzf0Wz3NHkBceKY6wrStmahpTi7mNDuZgSyjy2XcTJFhYIwSrFlAyX6IEcMnOKgGDIXrxAHOYgpw2kHVElTGsLE+tLGKhtMF4bpWDMZW8Zjf9YjyyzTwpEVjtJAaQWFlozykP1Rwv6oSWYSHNJnqGmNlgIdSKQWCCVxUvgstqMRyBPBZFUIvkecuPQimXU+M63fH3Lj+i2uXbvOYDD44HbCmpqampqampq/IPV6quYHzfpen69cucl/8iNPoLVGOPzUCRy5w3qTgqVOyiNLHUZ5SSMOUd/RLA+ghGAxcGwNBjxYgzNLM1w6v0CrlSJkiMKR52OeevwiP/PjT3Hn3jr94RTh4KnHl8nzgo3dHGvAlhOSJGY8GfPJT3yKhy8+zNV33uDt6zdAwNxMl3arzcbmOtLFKAWjAn7vuZx2a8Df+lyXeHtCMdPgKy+O+c1/0uOTlwtOdx3X78DatiAKBM2GpShLspU3yEpHN4Ff+fQNHvr4L/Fu7+dptdtM85w8jhBScWn546StlB23RCTbnEu+SLszQTQEDyU3ebD7N9nbFiyEb0HTIqppGFPAmy8PubtqGJgur9xt8uhSnzSF196BrZcDXr6eYMNFFuYV2lj6o4zZTpP9/ojhOKPMC5LAryXTZgdt/EhrHEdEViG1RVSR01aXjMZTRlONBRppzGwrwlqDkhKLb51c29jiy3/2VVbvr37kRTD492yNdM4dCCGeB34cmBFCBNVZjHPAWnW3NeA88EAIEQBdfMjjdz7XbwO/DSC+q3ahpuYY6xwrG7u8dOUOn3/6YRJjmE7yag7ai1GHoe/WCWQlgh1++K/JI4FKOQgclEYz6R2wBqggAE7R7TSIAlBCEicxC/NzPPywpSgNd++uMs5KkA4hLMJUo4MIjPUHVqkChJIoFN6LZn1Frgh82KGzZKXhpTdyrBX87KcS5mLL/n7JXj9ne6dgY1ezulNwMNCMM0NeQlhYokCg5i3dNGGmI4iSKbnpE9qCkgDnAsIwwkUB2BBJRI5kv7hAKAc01R7teJedYcxglCKCnFQYVOBw1lLmlnxs6PcNB31Df1QynBimOUwLL36VJqC0EZqEwqZMdIpTkjACbTh6Tw7bOqUQgEIhq3w1jvLdDt87zwkB7FAso2re1IbRaMKd23e5ceMGw+HwA94Da2pqampqamr+cqjXUzU/SO6tb/HFbxt+6olLdNIY8OenjXWM89ILKw7mWwkzzRgpTk5seA7/ao8kLIaW3cGAq9dWWJhJmel2cNagAoUKIq7ceMDf/Nyz/O4Xxqxu3GOm22GSw85ezjTTFMWUbiuhdBFxKLh76w06rTZh0kJgsbpEqZAHG+sIHM984iew5YRbV7/J9jDjt//wgJkm/PgzXf74S1P+wR9M2d23PH1OoIQ/GZ9Zwd5QYxzEgTcAXDil+M//9jKf/8VZtLpCHjzE3d0fRiQNcBAFIZ12wu7aNaZdybDzE2zTozH3TcJmQahGnEu/zsbajzHe6NA6s4dLJZO+5s41w06vQSEd375nuHov48HwUe4NBYVr4JwlTmLCIAAhUErSbiZ+zFEJdvb6DEdTClFy8dJDqDBCCMFg7HO+nFQ4UU0+GY3OxsRRRHemS14a+qOMEkWEwjlvCHnwYJPnvvw8K/dXPsC97cPN+2mNXATK6qCdAj+HD2x8Hvjb+KaTvwv8YfWQL1aff7P6+nP1PHvNX5QsL7h25wGnZts8c/EU1lhcVvjxROnbQnDC20OFREqBqD4QAiEPTUgCJQRSCJSTlMYy7fVYv+8f49wC3U6zEsMEaRJzan4O84jPB1tZ22IyLcmlhtIg7GG7os+vklKhVOAPTFVzpBAKeWgndhYnJaOp5etvZqxtFSy1DS4vKLRmnGmGI814ashLS6EdxjmKzLHXzxhPBFEQE0eOUGUoM0a5qX8JhG/AtEZgrcBZgUZwUBokI1yYEwdj0miH/mgG5xQOCBNw2jEdafq9kr19TW+oORgbRrlgWoTkOkHbGGSICBKsbGBlhIoksbJIYwmMQ2t3lKNmjKHUkiN3l3L+mjsZGHbCHYZ/fwSVUcw5jLZMJjn3793n2rvX6PUO6jMYNTU1NTU1NX+lqNdTNR8m7m3u0YojfvKJhwikxBjHICvYH+WkoaKdBD7gxflsYCnfW2p1HOEriBXMOsv+To9X37zL8vIpZmfaAGhjWF3f55FLZ/iNX/0sbzx2lq998yorGwc0GwmLsw0ebAlyA0oatFUMJyUvvPQ87fYMp0+dYm9/j529HaQQPP7oo5w9d56rb7+GJiEIQw7GPf6vf3PAN65HvPDaFD2xaBvyx68GdGNNUcB8qwDj2Ny3nJ1VXF4O+NWfX+Snfu4MIhKE8ZjF+X22h5DbiCQOEDQZHvSwIkUEDdZ3RqxMLmPVBo8+ctfHzgSbnOn+Odl+gNsZMVIhqytT+vua7b02L7xhub0eELXPM7LzvLUyIFI5pxcbtJRAKXFkIvDfE7qtFKM1m1sZhSmxiCqCTNBIY5y1/j2ogpiFsyhpSTodhBCEYQhCegFTBCAkt27f4YXnvsH6+ho1x7wfR9hp4J9Wc+0S+D3n3L8RQrwD/K4Q4n8BXgd+p7r/7wD/XAhxC9gHfv37sN01H0EGwwlv3LjP0nyXC7Md7F4fl3s7r0O8J5gdIY6abIU4unb4L0KAFNI3G2rNaGePTUElpAk67SZx4HOu2s0Ut7RQTWBLHmzswSQHoTHG+tFKY7HGUBQFKrA+wt/ao+2RQlYFxNK3RAqYZJZ372luSU0sDaHwtYy+kRG0BV2dlbE4+lPN+n7BNDdgDYIS6cYIOwZhkMq74oRTQIh1Cc5aTOnQ+lGMzlkIb5IGfabKsL8bk40t7TmLLUv6BwW7ezk7/ZL+yDDKFRPdIDNtStPGiYQgkjTTlCAIcQgCB8pYlLEYY9GBQ2uDrdxy2pij19/h3XqHr/HJksij90j4A7urXtM8K1lbfcC777zL7t6eH4utqampqampqfmrRb2eqvnQYJ3j1sYOc+0GT5xZRCCIlGShnRIqiAOFcw5dndiXFsIgeE+AyUkxLFVgtObWvR2e+/pVfvrHP0YjTXj9rZs464jDgIvnF1mc7/DVF9+m2wp45qnzbOyMEdsjpM1opw1yI8lLi9Yltr9DvHiGME5JhaQoSjZ3tll/7s8YjoZcPH+ZS5ce5cqb3+TV1R3eWi95ornLqRZkeo6DLCQKEh4/N2V3R7N2AFJKwlDyC5+e5cJijO3luCRFWIl1TRrNDomIKLShNxwzNZJ05jTTac6ov0uWW7759seJ2OfSuR3cyCBG22QjzebA0O8PWd9QvLUV89qdMf1JStI6jQ3nceUUiUXFXZwEJwQKCyrw0T7O4ar1VBQGNJsNBr0pg/6Aufk5pKiysRF+reSOVrcESlXviV//JnGIEBAEiuvXb/LcV/6c3Z3vMpR+5Hk/rZFvAc9+j9vvAJ/6HrdnwH/6l7J1NTUncMDGdo+X37nD0meeYW6+w+7OAa40/qBgfZ/koatIHP3Dey4RAvf/sfdmT5Kl93ne8y1nybX2pat6m15mMBsGmAFArCRAkSAFUgpZjJDDirBkyWHf2NYf4vCtr3yjCFnyRlAUN1Ekgdkw+2CWnpne1+qu6lqzcs+zfIsvzsnqHooOBxggBjNznoiMyqrOqsrMk3Wyv/d7f+9bupCkEARa442hu3cAUhQnfLmKatVRWqB0IYaJ1SWMseTGsbXbw5GBKNLjvSiEMOcc3hQjgUcOdQ9CFmJYkRlW/F4nBc5JEqNIvUcJkN7jncf76W1LcYuiMWSrk7GxnfDUOCOayREuQZhDrJiAbqAoHpuXCus03od4E5PYRZLkMUaux5y+A+IAk4fc78HebobSKb1hIYL1h45xqhnbOmO3SO7nsLQItKRRc4RhMeYIxRuplBKlPMY6lPVIWbRpOlcENxrK41PW/EopKPP5EeKhIyOmzSgWa3Im44ytzR0++ugi2zs7WFuJYBUVFRUVFRWfPqr1VMUvG+M058Kte9TDgDMr89RlgPe+XMOAcx4hPL1JipJFwZeW6mODHEdimBC0NORZxjsf3mZnv8dMq4b3nmefPs2xpTbO5jRqEf/iv/p7/G//5i/Z3+twf3dCoKDZjOj0JqBinLNoYZAqJreW7377e4DnpVde5LDbw3vH8tIS3/jW93jv3bfZ6QwwLkJKR6g0KIFUkiiA7z/nmYw9H16RxLWAx054xhPPtV3LmROOzt0xKxLUSptsZIoJH+dIcoeUmpmZNkp4QunIspTcOA7G8PyFbxJ0/wy7scd2N8fWIu7fHHLh+Q7DrZythXX2V07QmjuB0QtgEqSbUJ9ZphblWDfBUEN7gZw6Oawlz1IOe2MS40EFhI0Z9g/75A5azQZhoJHC45wnzSzOQxxK6kGAIsfLGO9BKwFCcvXaLf7iz39E97D7ybzIfsn5mTLCKio+aYyxXLm5yUyzxg+++TTzztPp9MkyQ5GsPj0pF8KKFGVe2HRcsjx7Fz2S5Uch0EqRG0Nnew9riyZHfWodWa8RKIFS0Gpojq8tkqYZxli29wc4L3AIBBZRKvTTn1/8fgB5VJCIK8c4hSyzsuQ0Ex7rBdZPuybLHgAM4MoSEs9g4rh+P+X+9oTW/BjNGGl6WNvByhahDnHeY/FYBMZJrNW4PGCctekcrhEe3EXJDpmAztCQ5gKBwRjLJPGkWcBEzJAEx0nVCsgGoZbU4jFRaJju/3gvjmzSSoJAIoUvxS2Omkucd0XVJKIQ6pD48k1WSI5EMbzDe4fJM4aDEXc3trl27Qb37t2rnGAVFRUVFRUVFRUVP0c6w4S3b22xsjBLU2scFikFriwDU0qQG8fuJOXUQhMnPPLhkY6HEEIwF0KepmxvH7K2PMvXvnyW0+sLBIEqSrWynMfOrvF7/+Ab/NsfvkigFROpOeinODQ2SwlEhowapDnk2QQdKBbmV1hZWuGw1yOOIr717d/g1Vdf4sbNGzSbbZz3jEdDPuwvEEiLQPHk+oj7+5Y3LztSWvyDZzynlizvXsv5kzcmrMxpfuVRQXd3wlyoWK69ydbeEuHMNwjjGuPxhG4/Y3lxnjv3thibAFFbxOddrt/ukP+fBv/GVe7HkjAUdPYNmx6GUY34+Dzzi2ex8RJMRmAm1JpLrC6FtGqCwdgDCoQsVn3e4U2KTScsLy+ilKI/ThmMY/I8Y5zk5G5MI9SEypMbg/EK5wWpUeh2De1AS4sQktQ4Ln14kReef5F+v8pW/v+iEsIqPnWkac47H92i1Yj57pceY15IOgc90uxBwGNh/BLlRRZ5YeLBBVEIMM55vPR4JIFWhTNs94Asy5ECTp1co9WIi5pgCe1mwIm1BdI0w1rHbmeET31ZfijwzpVCVumAmkZgTYOvhCs/ltllArwUCC/LmW/1wO5aimJSgPDuqCjz8mbK1Y0Ja+sTwtkBoezCaJuJn8XX2yAk1hdjicZastyQTgzpOCfvSsTVHHF3lwxPpgUmEBghcEiMiMkby6Qz58iCY6gwJhA5kc6oxQ6lHnpAYmqIBsRDrZBSlS6vHGNd0STpbCE6eo/yEilV4SRD4Mtv9N5hTU73sMfNmxvcuH6Lvb29SgSrqKioqKioqKio+Dtgt9PjL965xHeeOMtio1ZMsiCKRnlfdH5NSvdRMX43HcAreDi4TgrBQgguzbh6fZNWPWBxrkF7ZgaBJIoD7mwecGxlgf/xX/x9Xnz1A15/9xb1Wo1mI2Q8GtEbSjQKJQX9wYifvPoyTz/9LJ3uIWsrKyRpyvM/+lP2D7ssLCzy3HPfYP9gnwvvv00vD6grwbF4wN7+hA9u11FBiyDI6QwNzsHtvYA88/zxG32WZhRhKAgCg1xIObf8Oh9szWCiM+wd9hFCMEkyeqPsKMsrjBr4zR8xvPIWw9xz4CRBImhJQavWIj/zBTj7RVTrGDaZIFxGrTXH8kLAXCMDIWnEYZHvXD7H3nlwhnqzhQ4DQDDTrOERREGd/cMBw3GCSRNiaVhaPUatXscYy+EwwSFxQhemCud47ZW3eOmFl36hr6NPI5UQVvGpZDROePWdK9SikK8+dppZoNvpkSR5YeWd3vDIvyuOxKdSuSkEJiXAle2OSMJAk+U5o8Mety5fA2s5cXKNdiNGqSIzbH6uzql8kSzLcNaw33OMvC9OkKLMKqMQ5IQowvmLlkRX3qboup3eSyEKlxRCFiIYCocHr5D4ozBEygD5/sjy1vUxTz46Zr3Zpx50qMsdBoMmI3ccHcY4BHmekyYT0nRMMh4yGfQRo0NqyQAmBpE6pAOlJIQhttHEzK3hZs7gm6toHaGVJZI5cZgRBb68rw+cdZRvCkcjjqrMwS+FQDAYiiy1qdPOe4VSxePDF743AViT0el0uHTxGrdv3mEwHFYiWEVFRUVFRUVFRcXfIVsHXV65dJNvPnaapXaj2M62jmGS059k1AKFLkc4vC9XTR8ru3owJqkFLITQGY95/+IGK0uzPPVkHSklWiusE1y7tcNvf+8ZbtzeRrx3k/Mn26wsz3N7s0d+b5e5dsjB4QTjFbv7+7z08l9x/sx5vvDo47z21uvc3byHEIpABxzs73Hz5nWsdURxDeESdoeOsWtTr4XU5ITeGN65qdE6JNYeZw/5yfsZSgr+1T9eRIUpmgg5J3l06WXe326RpsXUT6fXL8wI5drGT3ZYX9rg8Jk24sM6WWOBHSTznR7pqTPoM8/gmytYk+PNhFa7zfK8oF0vSt6EFISBKtaC3h2VrglZrEN9aTiQQtCsRSgJy/NtnLX0umNk4AmjCO8hCDTtRnxk/EiynLfffIfXXnntF/r6+bRSCWEVn1q6/TEvvnmRQGueOXucGQ+u08el2VFzIfCxhpNper2YVgELEFKivMeLwnUVao3Ic5Juj41rNxF41o4fo92sEShFoDTLi+0iyyrPcdbinWNcOrncwyOSpUNNUowSFnOQpfBF8TsLMYjSHutxOJxXxb87CShwxckSX4whXt9Kee/akKWlmGZrn9k4ZpKF7HRBhvN4oTDWkqQTsnRMNu4ikh2CfBMR9TGzGjN2WKfJdQ3TXCCfOUbWPkZWW8TpmEAZIpkQBjlRkCOKasrSUScQvgh6nPrCvBDlowIvFVpR7p4IvDdFfprzOOyRHimExDmwecbB/j4fXPiIWzc3yPL87/KlU1FRUVFRUVFRUVFBsV7Z3O9yobbNNx89RRyUYfnWMVMLacYBShaTL7Zsk9RalVE0D36O88WmeaRgXjh2ugNeevMqs3MzrB9bxDvPxasb5HmOwPM7v/lVtnYOuXl7k05vwl43o9UI2T8cMJ5YoriG945WXbG3u4l3nvFkwom1dbb399k/2Oegs48xjvbMLCdPnOHKpXdJXZMwqjMTbqP9hLFqMjY1FmseYQ64d2CIAs2FGym//0qP/+Y3FGvRDfLkJDNzgmdPv8L7m9/l9m7Gfm+I9Q7hPYHZw3f+nLjuaD+5yLt6ntuDWVLrGK84GsfOotqrGGvJJ33iZpv5ZsZcbUKgBV5orCtyyKw1pGnGKLFICbVIEjpLIIv4HudBa4HwnlBLFmabTCYThsMeWWaIoqKALQyLYPwsN7z+2tu8+fqb5Ln5xF5LnyYqIaziU83B4YAfv/EhWmueOn0Mj+Cw0yPL8iMDGHBUAQw8NNc+VcOKwHcNCOewwhNpSZ47Jt0eG1dvFGOLp47TbtQIlCQMA1ZX5suf4nB2v2yJLGbpXenkKkQg+THbsGcqwslyTLKUj3wpg5XikXMCvCzGIp0sbLPl944Sz0sfjjhzss4T53sstYvGkcxY9vojMlfDOI81GSYboLId6u42zt8ia3kmKmaSxmTMYMNFXG0JV5vH6yZCBoTSEMgJoc6IAoNU5X0XH89ZKz5OZz8fIAV4JVBeHbV5em/x3pUWYIcXAucgSxN2t3e48P6H3Lt3v3KBVVRUVFRUVFRUVPwCcd5z+e59ZusRz5xaI9SKhWYM+CP3lxVFO3xuHQ4ItTra0PcULrHpiiCUgiXtubu5zx/+p7d5/Nwand6Yvf0e3/rqo8RRgK7H/Pf/9ff5n//XP+Du5j6tWsh+d8JkkqN0SJ5nhDJnPMrpj/oMEsvTTz/HuZMneP+Dd7lw6RIImF9Y5vQjj3HpwzfJjEFFTaQSOK8ZporUh8zEGT7vc/t+Ti3SnFt3GAd/8eaEM8eG/NazgtXaS5jkB8y37vGl9f/EaPxVdvp16vkGT8g/ozfeYleP8WiwMeOwSSY1jZpmdvUsxHM4k+KSHo2ZeWS+R97dxMVLGFXH4Yo1pTWkkxH9UYbxktyBJSKMFNJahJQIL4oA/TxjOMmZZI5avUGSpmzv7LC8vEQcRaiyzfP2zQ1e+8lr1TrqZ6ASwio+1Xhg76DHC29+RBSHPLq6gLGWQW+EtfahWzHN0gfHUZ7VA/3GP5RxBc4XNcKZtYy7fe5evYH3nvWTx5lp1ggDRRxq1o/No5XAOYvZ2MW5MnfMlIKPFIULaiog+QdqnBBFUJkvRzM98ujifCGI4UThqipFMUohKcth58Dy6oUhqwshyyuKtTlQ0hDIEXuDNpNc4eyEhjgkDLdwyT1GMiWLNH3qTOIlnF6FaAl0CyE0gXQoOUaLlEBlhIFHaXEU6v8wQogyMP9IT/zYkZFCFLtHSuKmgpgtjMUA3juSccL9rftcuniZ+1s71cm7oqKioqKioqKi4hPAe3jn+l1mQs3jp9fJSmdRFMVkWYbynlDDdndCux6hpSyyrso4GOBovSA8xEqwoiz7Ox1uKMnj59f47q88yrGVWQItsN5Rj0P+p//2d3nlzYv86V+9Qz0OQCicy8mShJFzpLlEBjXGkzGD3j4Zp2k22wgBQRgxO7vAxQ/eYJIkNGcWirVSMqKbz+F9jCZhOBjSGYBUITpw7B5aDkchxnp+/8U+j6zFtOpj5uP/iHHHObZ4g7/3RIerW2c47l9ge3uLZOCQoWC/F/HGxYitg5z2TIvF5TNQm8fnKS4dUm/N0KpnqGzE8NCQjHrEQoKOcM7hTEKgJMfWVgHBOMkYTlKc0Dhk2aJm8TYjm4wJVIRuhAwTw8LiEkmSst8dMTcjqcVw5eIlXnzhlWod9TNSCWEVn3q8h62dA1584yMav/osx2ZbWOsYjyY490Ck8aIUYEphaloPTDnSB6CEQJZZX0YKlJN4Zxn3h2xev4nLDe7UceZmmx8TwwSePMvI7+7hrMc78NbhXdFKKRBlYH/plpqqcGXmFpYHIft+eilHKx2lEFaGygOZFfSG8M6VlPXFIb/RULRmYX3eUI/GLLXqDBPNZJLisg75eJ9uMsQAI99goo7h43VUvIrXLbyTKJegZYYSk1IEA63kUbnAUfJaEQrGkZhXfs09pISJo5sJpBQoVeafeYlzFrwnS1Lu3rnLlcvX2N3bx1Yn74qKioqKioqKiopPjNRY/vLDm8wvzDFfi8BT5F2Vm/lSCHLrOByl1EPFJLc0o+DBiOQ0LEwUYlgrkDhjONjvsdWucfbUEkIInNAopXA2oz9IOHt6nUb9EjMtGIwNWSrYNRnShyBVEUXjJVeuXUYozXA44OkvPM7dextcu/wOMohotGZZO3aSvd1tUoY4GeLNhNFoRJILapHEWMdgDEM0xjpyk/P+Nc0fvjJmbTGkVpvQ4Bb+MGBu4TJfe/w6eT8j8zGjPGPndsC7t+fZH2bMzTaYWT1LUFvE5hOsmVBvtWjWUuqqj3GaKAzodbsY62nMrxYjlhLCuImXRU5yvRbihUAVCfpF/AwOYTPqjQZhvQVAIzccDlJmmjXGmcEaw1tvXOCVlyoR7G+D/P+/SUXFLz/OeW7d3ebFty/SmaQ0mjWiKESq4iXu/bS9sLxYh7EW50q1qUztUgK0EOjyoyxFLG8cw+6A+7c32Lpzj253QJoarPMEWnF8bZ6nnzrD+uoc9cATKYuSHuEt3hqszTF5hitdalLK8qIQYlqfK8t7IY4CGV0phLmytcV5UVycIDOCnUPPyxdS3ruSkI4SamrI6tw+Jxe3eGT5HqeWtllqHxKFCVY4xi5motbQrTNEM6fQtXmkjhHCI4XB+xTIEZKjLLDpu9lDPQMISvvzQ4LYA8PYfz4qWeqNTKW8PEu4c/sOH3xwkZ3dfaytTt4VFRUVFRUVFRUVnzTWOX703lXud/pAEZA//Z/+ODPkzuO8Z7Mz5PZen/4kBT42aHM0KSIFzGiI84TrN+7z9nvX6fbGWFs03Eut2dg6QCjNP/mH32KcGEyekmYGpQIQkiydkGcTpPBkxvHBhxeYbbf44he/VKxhdITUEd45Nu/d5mBvEyk1S0vHGI4SrA+ZadZZaOUIHAhFbiE3OUoq0szz52+M+YsLNQ5GApM5SAz+MEFYT9AMWD9dw4WLXOucozcOmVtYZPHkl4ibywiXIswEXWsRBROauo/wBpMnZGkKKiJsziGEREiJDkKiQB2VkEkEtUgTKFnkWJeiY6AlcS0+WpNFoabVCGm36iwttrly+TKvv/J6JYL9LakcYRWfbOmPGAAAIABJREFUGax1fHT1Ds1azDeePkOtHmGdI8891vsyw2u6UTEVb1w59leoNLJUebyUKC/QwmOFwHmPyx3D3oDtjXuFgHV8FUSTei1AK83J48tkeYb3no3NPZzLSa3D+sIZ5gHvLPiAIAgRUhbNkhKEUwhROsKQRaC+L4Ww8vq0oREoHG4IUqu4d6B44T1HHBmePJtSbztqoS7cZ95gshznIfF18miVKHoMESxhqWGdgDwHn+LsBO8zpAbnJNaBlJROtoccYOKBfi5KZWzq/npw3x7wcMFykaeWs721zdXL1+h0ukcn+4qKioqKioqKioqKT57dwx6vXLnFd544y8pME4/ncJSyP0gQwGCSkGSe3IOSI2qhJtTqaDvcT8vJvEcJmNUea1Ku3NxhZeUeX3mmhg40IOgNJtTrNb75tccZTxL+9f/9ImdPLXNvZ8z93Q7eWYIwKs0LDi1y5htDfvz8nzHOLMfXT3DQ7ZJmKc4Zas02p0+d5e6dawghaDSa1NWEw75HBnVsbjAmR+sA7wwOQbdv+MOXJ8zNrPCDZw5Zlh4lcvzBGDNb58NrMS+8f4y9zpiZ2XnqC4/hZQ1MinEZornIfmefke1QX8gRPmPU64JUzK+sE8a1YsXkFR6Blh6tBJkt1pnSFXE5xljyvCgWC1VAiMOVsdIOQRwFWGt569W3efXl18irgrG/NZUQVvGZwhjLuxdvoLXkK4+dII4DrPVY58r8rkIxF7JQ352XSO/BC2QR2YWQxdcdDukkWji0ECTWkaWG7mEf5F1UECB1gNKaWiRRWnPqxCp5ZkDAnXu7WDMpaoanYpiQ5FOVP4xRssjOssLBQ44wN3WDTXPN/LR1cnoiBC0lXgQYWWcvm+XVGzEHY8PJJUuz5RBaM8kCeqOQTj5HGq0QNc8SB/MYH5CmFrKUPB/jsiHOGRAKb4r2Sik9+qgTsmyKFFPHWvHVv0nDKjaB/Mc+n5YOO2fp7B9w/fpN9vY7lQhWUVFRUVFRUVFR8UuGB7YPB7x3c5PvPHmGWhjQrodICRv7Q4yFWqhoKEkj0mTGECpZTLmIaQnYNEhfoAQsKse93pAXX7+MkIqTx5fY2NwnTXPWlmeIAsVv//pznD19jB+//D5Xb39AvRYzszzD3sEA60H4lEfPL/Ph5bvsdA2nj6/zG9/+Du999CE/vXiFuNZkZWmVOzevMOztFc2TzjLMQ2Q4gzWOJJmgdYCSCkfRdNlq1JiZmeO9202CqMV3zu7RjKG/rXn3juGP36ihdcbs7AqidRovIgIyVBQwrq1y7/59hFAkzLPZOWBGd/FSsbS6ThjFR+YBAO8lqQOFL7wY3oMzpElKf5SS5IVrbaYZIbUj1hYnC9nGWseFCxd54ccvfTIvjM8QlRBW8ZljPEl57+ItlBR8+ew6Yagw1uJFMV4IHuUAKcoTj0cIhxISLUvhx4NDIpVHWokSAgVk1mJTT7fbR29uEddrhFGI1hFhoKnV6xxfXyE3tnCgbe4zGE7weTHr7ZwD78kp3mDCMEZKhRQSJxwwHX305YVCQHswwVnstEgBQhPFMXPzc7TnF0l0jav9kDsjQagtSjriOEKGMyTRPFFzkVDUsU6TZIY8G2HSMSbpARahFNZpcucRNiewjsAJtJKlCPYgBFOUo5uCh/L/KcsAjloiy+bMcr7TW0u/2+Xmjdvc39qtxiErKioqKioqKioqfom5dn+PONR87fxJrPNsd8dMMsuJpRkWGyFSwDjNGSQ5oVJEwUNFWh/bGPdIKVgNPZvdAX/5k484tT7P2soc33juPI+cWCimY5xlbXWeOA5p1kKWFme5cbcLQjFblygZcvXmHkbWCYKQ4WCft376Gv1xRhyF2Dzlzs2LjEc9jq2fQeqQnXvXwFmMNUwmY6SUR6OeSMVsu8EXn36MUydW0Aou7TY5GLdRKmTjIOLWRpdHHjnP0vwiI1cjMZJI5LSas/QzSX+nw0yrQbvVpNMb0e+BmyScOdEkiqJyHcVDz0VhKnClqcA5hzcZ3hpmZlq0kfRHCakB4zWZFSgNaZrx2qs/5YXnKxHs50ElhFV8JukPRrzz0U2UlDx7bp0gN2TGMi1u9FNVqZR0JKUfq5zB9g+NBSJFUWNb5oUZY0kmGYedLvH9HaJanSDUKKkJAs38wizOg8kNxli2AD+cFC4p63E4cAaTF/dDB/HHErW891hXXAo3WZEThi/2VbwALSRRHLKwOMfqsSVmZmeo1Roo3SRzEZkMCbRE15qEjQVqOsaLgNw4kjTDmYR01CUZ7iLJ0EGEFQGOYnzToyg1OyifJf7Gy8d54AYTRyKY9xZrcnrdLlevXOP27bukWfZ3degrKioqKioqKioqKn5OfHDnPjP1mEdWV7AOGpFmsRmWBgJBGCh294bEWqGkQKsy/+pot/yBLBZIwXLgOJiM6fViHj+7xvHVGWpxVDQmCocdp3zjq19gNMm4dnOTSDtmF2LWV1tcuXVAjkR4h/OexEg+unmHWlxndWGejz56D1sssvA2Z29/G1eOHGZpglYa7w3OC0AyNzfDk184w+LSIhaFUAIhFHvJPM2ZdRbWW5w+1+TRx55kuzMq4mb6XbI8ZZB6RpMerXDCTKNBa2YGrTXCQ2/g2RuMWY+L4jAxfQLKCOZpIZoQHuEdGkuj1QIdIQCtNYNJBlLihWQ0Tnn1lTd4/bW3PoFXwGeTSgir+EzigW5/xBsXrhFHIU+dWCLL+6WgVLYZUohfCsrrD6Sdwv1UdjsK8cARJQqHVp7njMcJnf0OzVabej0iDGooLQmCgOWVBZz35LkhzXKMdVhfiELeebxzeAwucxhjUDosRC/nsNbirCs/9+V1d/TIpBTEUcjy0jzrx1eZmZulVm9Qr88hVZPMCJxX1OIacwvriGgW5yyZtaT5hHQyYdTbJh3eRzMiigKkFqTWkdty9NFPA/t9mZ/210Wvh4SwshVm+tH7I0tYIYLlGd3DLlcuXeHGjduMy0DNioqKioqKioqKiopfft69tUkUh5xZmWecZOipuCPAluH5mfU0Ik2gBKNsGqQCXoiPiUA15WlmKXt7Xd67eJeVxSZPttsIqdEKtA65d/+Q3/7159je7bK92+Xc6WN8dH2bQQL5pI+SoOI2Ix+hpSIbH3B9fxPv7FE22fbmTbwQBGEdnxuCIAA8zmkQirnZFl968hGCKKLbHxFkFjXfIhKa+YWTtGbXWVtZZWlpnZub+ywuLrI412b/oMO7Fz5iMOgxGw0xHCDcCJOEzLdi8sEm1jY4GBqsHbG2HBOH6qhQs3gejtwZSCGIogCjA2zppwsCRYMQLRW5c7z10w944/W3McZ8Mi+AzyCVEFbxmaY/GPPSWx+h5VM8tjpH73BAZkDJohFSiwdNkVIU6VcPx1Z5yhE/ipP41MrqnSdPM4aDEXu7ezRaTaIoQGuJkoJAK9aPLYEXJLklyw2ZMVjrcM7j8Udjks5YsixHiKLS11qD964Qy8rdjsIN5hFK0qjXWF9f5szZU8zOzRCFIXFUIwxinIiIpUCrgJm5FertRXKnydMJNp8wHnTo7d8mHdxHkxDFAh2AxaCdQAmJO9qyKHiggf1NTrBpP3LZdSkKwc674nEk4zEHe/vcvHGL6zcrEayioqKioqKioqLi08Yoybhw4y5zccRiu4mSEus8WW7Z7SeESrI2G3N8ro51Dj/IGOfuKNoFKNY9wCQzbB8MSVWC1Iq33r/N8eNrtFt1hJQopRiMUsI44n/4lz+g0+nxwz99jeEoY215nmY8y+Wrt1FKIjDYSY+Dwy5xrcHTjz/JJEm5fuMqxlqCsEaWJggh8aUZQumApYUZvvalcywsLRHVm6S5Ye9wiPGahZVHWVp5hPWVVdrtRd6/cpsT62scW16g2x/w5k/f5GD7Q+pRiA2yYv1oUyYDT1BfoztIINkmjpbJbJFFXZgriqdBlGsnjqJmJMiAunJMvMKW2dVxGJAbyzvvXOTFHz1ftUP+nKmEsIrPPL3BmJfevkjwtSc4tzzLsD/G2MIJVohgFLsKYip8uaLf8Gi078Fl6hAT3uOsJZkkdA97dA4OabebxLEqxDAl0FqyujJHmp9mNE6LXC5jcM4VLi/Lg0B8x1Ggf+EIszhX5ox5h8CjlGR2tsWpU+ucOn2CVrtFEGiiMKRRa6CjBlLUUEGduD5Lsz2L1BqTWvJ8RG9/g4Ptm+STfbR0hKFCKQl4FDlaFiOXTgiU9CjpkdMTdikCPnCBlde9KIdLH4rH9x5rckaDAdtb22zcucOde/cZjpNf7IGvqKioqKioqKioqPi5sNcf85NLt/ne0+dYaNVxzjFKcmqB4txyg9OLzaNclXassN6T5B8v0BomOXf2BxyOM6TIqEUBl28EvPHONb727HmEEFy7eR+EKMS11XnarTqHhz1mGpJmI2ScGHTcwuOxaY9Bb4BQAe1WBAzZ3d0t/s05yBKEVExFJ6kkJ9ZXePbpcyzNt9D1NkIWEz1ShaysnuPYsTOsLq2iVI1L1zd47PRxZmdn2Nre5oMP3+TerdcJNYgoxjpZrJCsweY7SKl55MQprt0y1NlleaFGK1JYUTjCHvIaPCgi8wIjJNJDKD0WiZWS3d0D3r1wiZdeePkXdow/T1RCWMXngk5vyIvvXEF/7XGeXFtg2BuRpwaJJ1CCQJYVv1NJxxUimHOFI6sYTSzGEpUvfL3Og8tL19P+ATNzs7RaNaLQ4ZREKEEYBRxbmef82eNMkpQ0y7B2jC3HHZ0tMsCs81jrCmuxK9xgUyFM4Am0YmlpjnPnTrF2/Bj1eoMw0DTrdZr1NnHcRqg6QdgiqM2iwhoohbUWmw3pHtxld+syWdIhDBRRFCKlPDoXCzwBFkKPsZTz/QKlHoTky6n4JYqZeo/ET81h5Uikc5YsTens77N57x4bG/fY2T9gPK6cYBUVFRUVFRUVFRWfZra7fV6/epvvPH2edhiw3I6Zb4QsNIvgfOvAC0eaZNSCIicss+C8pzfO2DgYkOaW2XpIoBRtcsxgwFvvX6deD6nHIZ3DAU+dX2NpvgHeEoeaf/p73+PPf/QW48Rw9/6IINCYpMdoOMYLCd4xGiXcvbdDrz8kyzOEKEQq7wzOe7QOOHv6BF986hzzs03iUCGUwlG4xI4vHuPEiUdZWlxjnFgG40POn1pjttXi+sYdLl9+i1F/g9lWhLW2HG8sqwG8I5AOLUd4GpxaX2Lc62PTDqrRQukGqZ26wsRfc4cVE0eZ80gEXgjubGzy/I9+wvWbtz6xY/1ZpxLCKj4XeA+7B31+/NZlat9+iq+cWuVwr0uSZigESpb5X+VtZRlc6MvKRgEoIfAClCqEIOGLSkeb5Qx7fXZ39pifn6UWK7T2SAlSShqNOiePr5CkGVmWY/JtrClCG713hQBmPca60gHmj0QlvCcMA1aPLfLUk+dZWlkiCAICHbA4t8DszDJxNIPUdVAxOoxB17FeYJxlkqV0DvfZ3rpDlvSIIk0cRUhVzqk/NAda3F9PoIuTs1aFC00K+aAsQEgQqhwRlRSaYZlnZg2T0Yj797bYuHObjXtbdPsjsryaZa+oqKioqKioqKj4LHBrp4MObvOdx09zbqlFK1LEYYBxHi8coZKkBjrDlJMLdTojw04/4V5nhPWCc8fmqGmJEHA4TNDZmLzXY2f3kC8/dZr11RmW5ppEUYhxYIzjsfPHSTPD//HDH7PQgoPOhNFwgtaKEIF1jvEkZTgaF/nLStOux1jvmaQ5QRBy/sw6X3jsDDoIya0nEpJICxABs7NrnDj5BPML62ztdAA4deI4tVrMhcuXuH3rpyTjfSSOKNQ4J1FSHjm8hBCEUYhQHkeXeujQ7RouK4rWYjnByTrGlfHLxTcdfW+RrQwIycFBl+eff4Ubt249VDhQ8fOmEsIqPjd479nZ6/InL39Asx7w5ROr9Pa6JOMUj0cIgSvD4Z11SFE4o5wUOCmPssKElwgczsmiZdEYsvGYw91dtudmaTZPEASgVKHyay1ZmJ/hMSHIspzhaEyeW4yxGOvKPC2Ltbaco5+OYXriOOT4+jLPPfcUC8uLR3P2jVpEuzVPrbmCCpoIFaOEQChN7iXOWfI8p9frsbu9RZ4cUqtp4ihEqLIWwE8bHqd5+AKppu6vQsRTSiGkLGqGhTwaiRTIYnyUwjlnckOv0+HWzVvcuXWb+7v7DMdpdfKuqKioqKioqKio+Ixxc2uXpXbMV88eA5MXbWJMM/EFgZIcDFMeWW5RDx39SYZ1nplawEwcFD9EQD0KuLE35EwUcuWjm6wstHj68RNF+6KK0Apiobm3fcja2jL/3T/7Aa+9dYnf/6OXiOOQ3/zOU1y7eZ+NrS5pOjgSwQQeqSQ4aNQVX3nmLGvHVsi9pD9KGGcWqQNUAPPz85w//2WCaIbL12/Tqtc4ffo01nte++nb3N94k0ilaKWwHrQqomScNeS5xXkIFWgEAR4vitZKJSVhFOKxpGlKLZakqob9a8uj6XJJKsX2fod//+//jM27mzhXraP+LqmEsIrPFR7Y2e/xwx+9h/6t53hmbYlRp08yKUQb5wVCeDxFAGThzipaFIteSYfzIIXCyrLVEY/Lcyb9Ptt3N5iZbRFHi2hdiGFSyqJVMpzHGEu3N2Q0SpikOWlmyt/xwHk2zU+s1WJOnzzGr3z1KVbXVjDWkxmLtcWYprE51oOkCFV0HqQ35NYySSb0e3vsbN4hHWxQjz1hFJfjkOLBjPrRLsaD4EYhiiIBKQVSqvJjKYRN7bu+KAxwtrA+723f5/rVq9y5c4f9Tp+0coFVVFRUVFRUVFRUfCaxzvPT61vMNhr8+uMnaYXyaNwvzS2dUUoUKJQULLVjnj4+x639IUoIlCwLE4HcFpMlWIPo93j7rUvMzdRoNmoIXWzZS6UIw5grV+7wa19/nP2DPu1mDY/nJ29eZjTOyHJLbjKUClBK4ZxhME5pt5v847//K/zq15/g1vYY4wT90YSt3R6ZFeQOciPY29+n17vL8tIKx08eZ9DvceHS+1y8/DbzbYWPI7RyxVrNezAZk3HCcGLIrKcWh8zP1FDeFUUCeLQSCCfxxjCcpAxGCbOzDhU2sA7KTs3CkKEUO3sd/u3//v9wsN/5hI7q54tKCKv4XLK12+UPX/gA+etf5unVWdQhJGlehCq64sTsvCzFseJ7pkH51pVimAcni+sOsFnGoHPI5sZd2u06UdjCl39hSkqiWsjJ4yuMRhMOD3uMxgmTJDuyxyr5QKCK4rAUwZ7kkdNrSClJjUMIQSYszjvGkz4q6mJdgNcevML5nGQy5PBwl4Pt2yTDbeKaJIgjpFQ8eCTF7xEf22gQ5fijQJTilzxyg4kyMB8oRTdrPZNJwv1797h6+RIbd+9x2BtibNVoUlFRUVFRUVFRUfFZJs1ynr9wDeks33viFLVIk+aWvX6CtZ6T83ViJXHeM98Icb5Bf2JwDoxzjNNiZLIRagIlCXAMd/Z48ScfEkYhj5w+ThCGGGPZ7fRBSJzzfP97XyXNMv7gj3/CrY1txpMEYwxRGNGsRUyyHCM0rVaD7337S3z/e88RxxFr1DDW0RjE5Lkjd4V/rdffYzg84NTxp1hYWODu5l02N68y6m+ipcE6dVRwJrzHW4O3GbVaRL3ZYpTkHA7GTAwoC0FpOxB4hDcY51BhxHA45qBzyMKCQgU1HiyZBHv7h/zRH/zHSgT7BVIJYT8TZRhexace5zx37u3zJy9/SPDrX+Kp5Vno9EiSHO8dSngCxdFoXxkhhnAe6UThBPPgKEPzvcd6TzaZcLB1n/vzszQaNQItcUoAhbOq1ahx/uwJ+v0hg8GY0SglTc3R6CWA0oq11UWe/dJjnH3kOFEU4rxHCPsxMS7NJvjeNkFkEKqJcYrJZMSgu8dosINJOsQ1SRhHSK2PnFzFTkYZ0ugffkUXDZCFG+zjItj034FSBIPRKOHexh2uXLrI3Xub9IbjysJbUVFRUVFRUVFR8Tlhkua8dPE2ywstvnp6lUgrFpsRC82QSEskYMpM4WakMNYzyizWeVJjadcCWnFAIAXOOQIcB3e3efnVSyA0jUadu1sdtnYOOP/IMWpRgJTwG7/2HMkk5d/98Hny3ACCINAEQUCSWxYXmvzmd7/CuTMn2TucMNcWzM00SDODddBq1orssCN7mmU0OuDGjXfpdPcwZoiSjtl2HSlEoQJ4jyjja6IwRMZNQBDFEY4y66ucnpECAgRxHCPCOghFfTjkYP+ANJ3QjiNSoUgyw/WbG7zx+k/ZuHf3kzyUnzsqIexnoRwf+zzlHj0c5PdZe9zGWq7e2uKPXpBE3/8K5xfm8Add/CTDl1YpoYu2RFWWJUrrMc6X7Y6FADYVwoQH6xyT/oCtW7eZX5gnDufRSmJdEbwvlWZhrs0zT51jPE4YDMakWY7A47xHSsncbItnnj7HY4+eotGo4/FI5x+4tYQlNQJrHWnaI00TMqNIEks6mWDNGElCoxWWoY3qgQgmyuMoxHSIv/iZ06YAChFMSYlSpROM8v3Bg/cCYz3DwZib169y+dJFtu7vMJpUeWAVFRUVFRUVFRUVnzf6k5QfvvIhZ1YWWKwFqHJZEQSa3Fi080RINjs95poRCBgmnnYtxHtPoOTRZExmLD6ZsHVjg7fqNb7x1cdYXWpxan2WpbkmofbkxqCV4Aff/zrWef7dD3/M/kEfYwzd0YSVxRn+5T/9Lb7w6Ck2d3rsdkZIpViMY6x1ZLlBSUG7HhEGisEowRjHwcFd6rFGyAApis3/KNRQVIQVkzRljnIUKYxUeO+RAlr1GEcxBaSVIFSSWiCp10KsLH5vvdEgyQzGGaxJCXXMh7fu8h/+8M8YjUaVoeAXTCWE/Sx4jz9yx3z2mYpgUohievkz+LdpreOja3cJw4B/9GvP8MhsGxiQJhmCqQhWCGFSFG2S0nqM8FgB1hc+We+KBDEhFM56Dnf2uXnlOnHtSSLdJAwk1jqktARas7K8wLe+/gxCCF545T129ro4D81mnUfPn+TLzzzK7Fwb78E58NIhrCgdYZQjkoUoldtJ0S6pLUHTAQohWwgpAY5C/qc8GHEsPpdSIijzv5i6wYomzakIBoWLLssth4ddLn/0EZcvX2a/c0iW21/EoaqoqKioqKioqKio+CWkN0r4X/7gRf7V73yT9bkGzhqUEGQUa5dASzLjuH8w5PRymzS35NYhBIRRhLWmXM9otntDorzPjY+uU69FfOMrjzLTiomjAKFDZCDI3YT+4SH/8AffRirNv/m//pLDbp+1Y4v83u9+ky8+cRqLIgo1ae6IoqhYG5VTPkuzdcJQkqUZaQL9YVpkIytJveYRUmGsI9QS7xwmN0wygxCCOJA4D1o4DEWWdKALA0GoJYGWRIGiFkviKMCgyBGk0hLFMQLPKMv48V/+mA8v3WQwGH7Sh+9zSSWE/ax8FtWgv8bRAGjpQEJQhGB9RvHec+HSbbSS/O43n+JkuwEIRJphjUUgC1GMwo0lhENYAA9O4IV/8PT40jVoHDt3NogbDUJ5Gq1aRaujmDZJapaX5vnVbz3LTLvJ5esbWOtYWJjh9OnjtGdbWFs4zzwevEQgUFA69CxCSIRwFBH7FiUV8KDZscg3K7cuStVr+tk0lF8KgSiD8KVQKKWKNwFB2YzpcdZjnCNNc+5v7/LRhQ+4fPUqo9EYW+1cVFRUVFRUVFRUVHzu6Y4S/vXzP+Wff/fLrM80sMYcrUKsLcSk3FjiQLLSiri20yd3IEWCVmq6hEEpQXeU0a6N+ODdy8SR5ltfPY+njvfFRn8Yhex0RoxSwz/5L75Lu93g5Vff57e++yVOrB9jkHiazYiFxTlS08ECxnqCQDPTisEZtLCYqIEKIgyS/e4YKxSJoVjvAQpPnqckk4xJZkkNhKEGpakJi1QaD4RaFk2VGLyVWCWwXuN8UZ6W8iD4//Cwywsv/oS33/6wcoF9glRCWMXfyAPfW9Ga6D7jAqCxlguX7xBqxQ++/gSr9bg4MXkQWCSydHxNRwkdRYOkO2o9mTqviuuQTjK2bt0hDBS4YxxbmUMqiZQO5YtK38XFOb7x9Wd44omzWGMJgiKMcZRkpLkFY4tiEkdxUKRETYUuHA6Jw5Zji+5BDn455ijKe+TL6w/SvgpJTIoiB0wrjda6EMKELL7HCaxwOGfJ0oyNO3d59933uX37DqNJ8os8PBUVFRUVFRUVFRUVv+Rs7PX4D29d5r/85tMs1EPwjnGas3s4YpJkrC+2iKOAKApZTQ3v3elgrGOuGaOkJLOO/sQU45IC5GTIhXcuM9uu8eWnI2oNTbHhD1lu6fUngOB3fusbfP3Zx1hfmWE4sRwOUjwwGqdMMovrTYjCkCwzpEmOFjkyDNFhnaayLFlJZ5CVMTRFA6bwDpxBCUd7ps2s0gzGCbuHQzLrUVYQSlCyEFUiDWFUQwcBubGkuaVWi5FKopRHa8WgP+BP/vSvuHzlRiWCfcJUQljFf8bRn+TUTeQ/w3awh0jSjPcu36EWh/z2s+dpR0ERiohHCocUqmhTFBIpHEI4jDOAwTl31PzhS5nJ4hj2+ty9fRdsThgownCBQE9bRwphrV6rUavFOOswxvL/tnfnQXJl133nv+e+JbeqQmFrNHpjL2yuLYqLxKEtWbYpWZY146Dt0DjkP8ZLOMJjW46Y+WMmLM0/1iyO8Ex4HYctDz2iRFGSRZoixUU05aZEDrubTfSCxtbY10IVCrWvub737p0/3qsCGuqNbgCZAH6f6EQlXmV1nbqFWs7Je88ZZIPyeGJvUPb2oqAIRfUsSVnOcs5wkZUjerea9RfXdnqF6pqripjuxuOR2xMiHXHkqKcxSRITWVR9yj2FGd4bg0HO1KXLHDjwIlPTM/T7g9v9qRERERERkTvAiekFnj87w09+4FFqUSAi0Ewi3vPgTnbtaJWFJuCRPeOMTVyKAAAgAElEQVQMioKDF5e3TyOttMv2NDubSTWorCBfXeH57x8nTVPe8+QjJGnK9OwycwtrvOeJ/cTVE/n7799NHBs70xpJrU63N6DbHxBC2VvZF+UuryRxuBCRexh0+vgQiJyj1UjLo4+1uOz9XOQEb6Rpk8LVwWDnjjH6mcfMbZ+0SWNHIzYmxuo0x3dQq8VkWcGZS/N4jMTFNFsJS8vzfPXr3+L06fP44t7Ir0eZCmHypu61Buib7S4vHj1Hq17jk+9/mFoclU26KPuDmY9wVQXLY2Q+MMg9PpTTT8rdYUawsgCV9wawtEocx4yNj7FjcoI0Tcvm967sK7bVedFcRJQYqVUHMV0ENgAyfIAsFIStpl1VEcsZRM7wUXX0cat4aeC2mvj7cldYNfKgfF/VEc0ocjRqCc1aShJHOOfwwZPlgWLg6PX7XLowxTPPPs/MlVkGWX67PyUiIiIiInKHyPKCPzh4ivfu3827do/RSCLqO1sQOUK4du7ImfHEfTvoZ55XZ9bYt6PBvonGdrN5gi/7VBee9tV5vnfgBBbF1Go1FpY3eP8T9/P4I3uxUJBlGbkZIcQkiWHm6fb7zC+sEbxnx1gTIxCCx8xwLiZyjnanKPOsPKeWxNTTmFoS4b3HmSMQ46II7681m2k1UqKo3EwQx440jhhvOnbuaJW7zOKIWpoSxzG9QU6jVefQkbN86ff+gFOnzhK0E2wkqBAmcoPV9TbPvXKasXrKjz68hyRy1bhcT2xbvcLKXV/eR+SxZ5AVZHmOD2UD/RDKtmo+BEKnx+ZGh+WlNTbbPcZaDaIo4H0gmL/Why2A4YhiI2VrW6671tweIy88fmvCZAi4yHDBE4XySOVW0a48CFm9lYGvjlMa1VbfqoBWTyNa9ZRaGm+fzc/ycqtxu9PlzKnzPPvc81yeuUKeqym+iIiIiIi8uSwv+Fdfe46//VM/wkfetbfMm0K4vv9O1Q/M8d79k2z0cubWe+wZL49I1uo1QlHmHiHPWdvokE/N8EK9zk//2Y/w4z/6JPXUkURG7g2fQa/bp9fPGR9rkiYJ480ajz64i8ce2sWg12dlvU3mc/qZJ45jmklEq25sdjLyvGCskVBLHFk2oNPLIECaONLI4c3IPfiiIE0iYlc2yK/F5ZCxJE3AjDiOiGNHf5BjrszHzl+Y4Tc/93tMTU8P5XMhr0+FsDvUjbMrVVe+uRaX1/jekbOMpTHvv28HcXUkcatmFZtRd2VBrPCeLI/IioIi92UP/QBFtSOL3DPoD+j1+rQ7ffLCk/iyEObc1gTH1x5cdFFEgm1/Xs3KI5n9LCe3Au8DZmUjfV+9n6h6n1THIK81xXdlU/yqkb6rmlDWEkezFtOspyRRWSArCk+e52xsdDh96jwHDrzItIpgIiIiIiLyA8i952svHKeRPMX7HtxT5iV/rF0LpEnEDz28k975BZY2euzb0SB4v53PJFHE5iDHNtssXJzm8PFd7Jps0ay1wCWAI60Fen3PhctzPP7IPsbHGoy1GkyM1QlFzma7S1Krs9HucXVhjY3OAItiCEZaS4gThwsFg16X7mBAnhVs9jJqaYpFMZErTwcFB43UEREIISPPCpylBIurnMszGATmljbJc8/h06f50pe+ydzcwhA+A/JmVAi7A6kIdusF4NKVBZ45ktD42Ht5fLJRffOuhjICsTOII1q1hMJ7BoUnKzIKygb63geKEMpRvdVnrSgCeeEpfMBVjcLKzWB23dHF8uHmHElcfomaGZFzxP2qGJYXFL7sU8a1mZZlC33vy8b91QRLqr5mWIQzI4rKsb+NNKLVSEmT8px+npe72jY2u5w+c5EXX3yFS5en6Q+y27buIiIiIiJyd7iyusnvHzzN7okme8ebZW5UnVzZyn6MwHgj5aOP7uGZU1dZWO9Si8s8KJhBKCc+ZtXUx5m5NY6fvsL4hx+l1Uqr92REUcTiSpux1gZjrcZ2u+t6LQY3jsU5jWaD3MPcmSukaUKrUSNJDJ9DMRjgoph6q0Zc9xB1WV7v0Gw1SKoEMHGOJPLUY0etOU4Ux/T6A7qDnGZo4oPDRbBjvM6x4+f4+te+pSLYiHLDDkD+y21NKJRboyg8Z6au8uzxi8x1s6pRPZTTFsuG9WVRqSyGNdO43FmFlcWoqiBlzkhqKbVWExc7siwny3PyosAXvjwiGcK16ZNc2yBmzhHHMbU0pVlPGWuktOoJ9TQmjSNqSUSjFtOsRTRqjlriiF2562trwmU5GTIijiJqaUyrkTLeqpUNHetlzIRAludstjucOTfFiy8d5tLUZbq9/tDW/50yoxwq4G4sHYuIiIiIyO1wfm6V3372GOvdQTV0DNg++XLtJMtkq8aPvWcfnUHO3HqXfl7Qz3KurHXoFwFa4xRjOyg8zM6vsbrexfuiHBrmod0bsL7ZI4SA28qqQplXxXFEvZYw1qqza+c4SRyRxBETYw1qaYxzRuzAxXWSJCGKonLio3NkuSfLy/YzcexophF79kxy395d3LdnJw/t38vCahszI04iojjihZdP8quf+TwzV64OadXlrWhH2B1mK6VXAez2GGQ5py5eoVFP+ekfepTJ2PCBstCEEUeGcw5zZeP8ziBnkHv6BHwomywmtZTmxDjjk5MksSPPMwYDt/0sSASYuWtN86v3ff2xyDh2QFwWd6r+XoPMkRdlk/6sKAtssYO+g0Fm5LmvpkM6ojgmiWMatYhmvSycJXFZAMvzgjzP2dxsc/bcFM8+d5DzFy6x0e7c/gW/ybaaWoqIiIiIyO1XeM+Jy/P87gsn+G8/8UGaaYSz6nf0chLYdjFsV6vOn33/fr5z8iqBLobRLQKtHRNEYxNgjmY95v3vvp+JiRaF93T7GbML65y/NMeeySb7drcIvqDwUFT9lp3z25sENts9nDP237eDZj2l3ekRWyBznpiIdr/cpJBlRTlJkjL/SuOIRi1ivGGMjTcxF5EkMXHkiFxMu59Rq6ccfPUq//Jf/xqdTneYyy5v4S0LYWZWB74L1KrHfzGE8I/M7NeBPw2sVQ/9myGEQ2ZmwL8CfhboVNcP3org71VK7G+v9c0ux89NM1ZP+fF372ciduXkEAtEOCIH9SRiRzOlm+UMCs8gL/t4EUc0JibYuXcP42N1zMqji4Uvi09bxyyjqDoeGSBYuK4cVrKq+aIzqt1ojjjKyYuo6lHm6bvyuouMyBXksSfgcFFMHMfUazHNWkw9jYiclUUw76udYG0uXJzmue+9wvnzF1jfbA9hpW+ucmCBvlpERERkuJRPicCBU5d5cOc4P/WhJ7BQ9joun7W+LvOxwN6JBh99126OTK8w0arTaDXJag0+9P4H+cTH3stYqwEG7e6AJElo1FP27R6jWY/ZPdGgUSt7N2e5pygC3qfUa46iyJmbX2Ntvc37H9/HQ3vH6fQGDCIgiYjjZvUketmGBgtlA/00JokikqTcSBCnCZFBnEQ45+j0BmXPZh949vuv8iuf/i0Vwe4Ab2dHWB/4ZAhh08wS4Fkz+0/V6/7nEMIXb3j8XwCerG7/FfAr1Uu5CZTWD8fiygZHzlxmvJ7w0Yf20IpdudXWAi6UTfQbqWOylTLwZYGJHvg0YWxigsnJMWppRAhlk/yi8OSuwArbbjrmXFT2BqP8PG8VyazaPlw+ixFh1XG/KHbkhSfPC6KoII7KnWNJHFFLyz5lLnJELiJyEWlSjvh1ZoQqxsEgY3OzzaWpWZ59/hCvnjzLZvvO/sZt23+8dnqmiIiIyJAonxIBvvHyaRr1Gj/25EPlb+nVr+nXD/qKnPGuveO0s4LzbfCW8tDOJj/+iae4f+9O4jhiYXmdY6dm+NiHHqPVqDHWrDMxViONwAdHcIY5z/LaBuvtPvv2ThInCQ8/sJsH7p+kHpcTIKPY4Zxjea2ND2UuNWYROKglDkKBz3MGeUEIBbmnnFIZwHtPu5uxsLJJs1Hj0KFT/Nbnv8ri4vIQV1jerrcshIUQArBZ/TWpbm+WWX4K+I3q7b5vZpNmtj+EMPuOoxUZoquLaxw6N8N4LeGD9+8ktXJXVaiOSjqgmTgmWwk+lOfIO1WRjFD1DPOeoihvzoWq2X0OlEcknTMcbrv4Vf5EKNvgly/L3WGYYc5VBTBHUTjy2JEUMXlaHbGsdohtv011SN77QF4U9PsD1tc3uTQ1wzPPH+SVI6dotzt3dNnIbY31hGs/Ue/kD0hERETueMqnREq9LOebL59iz44WH9i/m6LICVVX++22MEASOd63fwesFlxqe1rNsl9ynheYGWkSM311hcceuY9mPcVT5VLm8MSYK+8HHBdn5mm1GkyMNcvhYxHUYsiilGYUiNOCpbUey2ubPPLAbuLYU6+lFFkGPiMvCohqhABX5pbpF55gMeYiGs2YXSHwhf/4DV58+RgLi0tDW1v5wbytZvlmFpnZIWAeeDqEcKB61T82syNm9i/MrFZdexC4fN2bT1fXbvx//h0ze8nMXnoH8d/VbKvh+bADEQDyouDy7BKHLlzhyloHXxWVgvd476EIRMGoR46xesJYq0ZigfXVNZaWVtls9xgM8rKpo/cURVEWxfzWJElfPrsQqub5wPZzI3b9/fKZiyiKSOKYWpJQS1MatRqtRp0d4w0mJ5rsHG+yo9VgrFmjlsbEriywFUVOt99naXmN02cv8Z1nXub5F4+xeQcXwbaGF1z/9bL9+blTPygRERG5ayifEiktbXT44nPHuLS0gTlXPWEPW7VhX/3uXk8iPrgrYX8zZm6pw/FTU2RZRj/LuDA1R6/XxxcFRVFsn7rJCk/uPUUIOGeEAGsbPXr9vBpIFjACZobHtotqOyfHmF/aBDN2jDeYGKuzY7zO3p0Ndu3ew+SOcXbtHOehB/YyNbuGRRFpmhBC4Nv/34s8/YfPqQh2h3lbzfJDCAXwYTObBL5sZk8BvwRcBVLg08A/BP63t/uOQwifrt4OM1Oqep3to3DV33W0a3R0egPOzywwVk9ovOcR9jTSajJJyYIRE9GIIW8YRYC19gaz01dxrvzcxlFZyDKz7Zszh/cBZ4HgDA+4qoJjVn4Tt+ub6ZsjcuXgYVwgCtF2m0nb3kFWTr7MC/CFJ6dsjN/p9pmbX+XEyYu88NIRXjl6ksEgG8p63iw3bv4Kqn6JiIjICFE+JXLNzOIqX3/xBH/zJz9GwxneAiHY9u/wZY4EaWT88G7j4FLOd54/weLKJkmSMLe4znse38fkWI0izwghKpsuUx6JDN5Y2+xzaXqROHLU0gjD4z0UlAUzCw6CEYKn0x0QgCSOaNQS8thB4UhcjBVJmZtZmcx5X/YDW1lv82/+n8/z9B8+V/YUkzvK29oRtiWEsAp8G/iZEMJsKPWBXwM+Xj1sBnj4ujd7qLomb5ttbwDST7TRs7rR5ezMAkcuz7ExyMhDedTQ+2qsbhRRSxKaSUwrjWm4QHdtlempq1yZXWRto0u/n1Hk5U6yUO0AY2snWPUDoLp07TG+vLA1OdK5soDmXISLIuKqKX4UlY0bt/ZGhRAovCfPCtqdPlNXlnnpldN897mDHHn1zB1fBAO21y1oF5iIiIiMMOVTIqUjF2f55qFTLLUHmJXT7NneKMB2IlyLjA9MRiRFxsnz8xR5zp/+0Sf4+FMP0aiVbWDyLKfT7ZMVZT6W5xmLy+skseND732AHc0Enw0YDPr0BzmDLOBDwSDLmJ1f5fKVRR65fweT43UiB5FR7laLYhpp2YPZB8+VuTXGWg3anT6/++WnefGlIyqC3aHeshBmZnurZy4wswbw54CTZra/umbAXwKOVW/yVeCvW+kTwJrOs//gyq2b5R/K6UeL94GFlU1OX1ngzNwK3bygqIpNIYDDSJ2jmSSM1xJacUSUZ3RWVpi+PMfs3DKb7R5ZnuOL1xbDQrixiFMVyPxWgWzrwKRh5ojca2/O3PZewuA9IZT9yAaDnI1On7NTC7z0ymm+/8JhTp+7QLfXu+3rd6tsFQ7frq1jlNe2Y4uIiIjcfMqnRF7f0wfP8PuvnCEjqk7JVE/lX/c7vRnsSI0nGh56HS7OLLG0vEae53iLCC7GooSF5U3mFtfJi0Capjz60B4+/IGHefj+HaRJhIsTMMf6Zo9Ov6AIRuSMRi3mvY/v44ff9yCNBFwo8EVeHrEkwpzD+4Ll1U02u3127hrjP375P/PbX/gGi0urw1o6eYfeztHI/cBnzSyiLJx9IYTwdTP7IzPbS/lv9RDwd6vHf4Ny1O9ZynG/f+vmh323C1v/yYjqDwouz60y3qgxVot4aGKM2CCiqI4mOmIzGknCjkY52XG1N2B9aZnpJKZRS0mShCiOcYWniDzOO8wCZtXuL8f2Ecetw3+hmjJs7tqxSmD7XGCoRhEX1xXB+oOc1Y2yCPbqq+c5+MoxLk5dptfrD239RsF20Uzbx0REROTWUj4l8jpCgBdPTzFRj/lvPvokVYOX1867CuUfe1IoQsaZlXUOH7/Enp1jPFgbJ04CcRwTiDh5/ip7dk2UJ2TMSCIjSRyZj4gc1KKEy1dWWVnv8tgj+0iTmD27xjE8jTjQy4EoJbic5YVVxseatJop9XrE3vsiZhdX+a3PfYVnvvcS/f5gSKsmN8PbmRp5BPjI61z/5Bs8PgC/8M5Du3cpL78zbHYHnJtZZKKe0IxjdtVTCBBhWFQWsRIHrVpCnhfkhWel12fh6nx1hDEmimMiFxE5jzNf7fQqfwCUk05KW7u8tvrHbfXEKodJVjvAtnaPhYAPZTP+bm/A4mqbs5fmOXXqAocOv8rl6Wl6vb76aImIiIjcBsqnRN5YXhQcOD3Fw7vH+MijDxI5KPxr85StzQH316CXDbh0dYUDh8/zUzt3MTHeAgo2Or1yt1dvQJrGOLZaxFj5/wtl3uTiiIvTizywbzdxFGEEYhdwLiK48qhlrR7R6RVcmr3Cx3/4cYIZh46d55f/93/LpUtXlEfdBd5Ws3wR+eNCgNXNPqdmFhlvpHzw/t2MxTGQl994rdxuW4tgrBaR5zG+KFjudJm7MkccX+vp9dqJKUBUPfnhyiOQZgFnVjbHh3L312ueKmG7P1ZeFAyynF5VBDs/Nc+Z0xc4evQ4U1OX6XS62/3MREREREREhmm13eez3zpM/OdTPvTwXuxaysN1OwMAeHjM6K57zl9c4PsHT/PUex9hkHuOnZ7m0Qd3U08igi8otneXeXy5zYAsL1jf6FIUvnofVeuZEPBbPZkpC29pEjO3tEmnO+D85QV+5dNf5OJFteq7W6gQJvIO5IVnfqXN0UvztNKE9+zeQbo159McFgxzRhoZrVpE4WMGecH6xgZXZ66SJAlxkpTFMK71hvMhEAVHcBFRBM65qtDly8KYA3zV56q6eV8eicyynG5vwPJ6l/NT85w+fZ5jr57k4qUpNjbbFIWKYCIiIiIiMjoyPL//8kliZ7zvwb0YZc6ydRLGqtZBzownxh2+XXD0xDSb7QE7J1s8+cgennz0PpIoMOj3CMHI45iQJjjnaXf7zMytsL7R5vGHdpHGRp6VQ8NCZLi8arRfQLvdZ3pulSSJOfDKGX7117/I0WOnh7MwckuoECbyDvUHBTOLGxyuzTGWJjw80SKEouz3FQwLDmeQxkYjjZhoJAzyHu2VVa5EMbVajXo9Jdo1XjVwD0BU/s+rp0HK5ypcNS0ygAdvVD3FjEBZJMsGGZ3egOX1DhcvL3D69HmOHj3O2fNTrK23KQpNNRERERERkdFzeXGNr718iice2EMjchTes31m5rrWyKkzHm0Ezvf6zFxdYXyszgP3TTA5nmJRjMUp3W6f9kaXycmY1JU7vO7bNc6+XWNMjCUQcgaZp/CBzMV4EuII+v0BM/MrOGesLKzwmd/4AlNT2gl2t3nLqZEi8uYC0O1lXLy6xpGZeRY7PYrgKXyB9wW+KMB7IjPS2NGoRYzVE1yRs7a0xKWL00xNXWVto8Mgy8iL8u2CLwihmiq5dav6f233AfOevMjJ85wsq4pgax0uTM1x/MQ5Xj54lJOnL6gIJiIiIiIiI29qfoVf/dZLrHQHZeuYqnu+v2FCfDMKvKuek7fbnD43y6kzl2l3MnApUZTQaDSZXdxkanaZwkOcxOyYaLFnskmrnpDUmjRa47i4xvJqm3Y3I/dGrVbj4Qf20O31+Nxvf1lFsLuUCmEiN0EANjp9Tl5e4siVRVZ7Gb4qYhVFgS88+EBkjjSOaNZjWrUYPxiwurDIpYvTzFxZpN3tk+U5RVFsF9K2imE++NcUwcrrBXle9gRrd/ssrGxw5sIMrxw+xfMHXuHkmQu0Oz2KolBTRxERERERGWkBOHbpKv/hmSN08nIzAVANCaseUxXHYp+TtldZW1njyIlppmZXKAq/3VYsYFyZWyXLcvAeZwHnIFhMoBxMVq/XuLK4ybmpRQrv6fQGvPDScf7pP/33nDt/8bZ//HJ76GikyE0SAqxu9DgxvUg9ifng/l2MJREWoGzqZZhB5BxpEtFqJPSygl6/x/LCElOtBhPjdWpJROSq6ZGvaQJ27X2ZcxDAe09eeHr9jOXVDc6en+Hg4VMcOXqKy9Oz9PtZVQQb1qqIiIiIiIj8YI5cnOXA+X38xLsfJnKBUA0L2+pxv9nLOT23ztXVLqExYMHgpSMX2b17F3t276DT6bG4tMZ4q77dGD+ErZ7MVeexUN43M5bXOiyvtvnaN5/hW986wLkL08P88OUWUyFM5CYqfGB+pc2xeAHnHB+8fyeNyCB4wAjB4YDYORppzFgjoWj3yTptFq4uMDUxxvhYgziOMHNVEcxhbvu7NsEHDE8IUBQF3V7GytoGZ85N870DR3n1+BnmFpbo9/vXTYdUJUxERERERO4c33zhBIk5/uR7H8b5glD1Tt7sZZyYWWF2rUPuYW9jwC7rc/HSHC8dPsMjD+1laaVD4T2PPLCTJIIsz8tCmHekiRECZHlgcWWDpZU2tVrCd589zL/817/JZrsz7A9dbjEVwkRusiz3zC5t4JzDzPjg/TtJzUMoZ58EDIeRRBGtWkKee9r9nO76OjPTs0xOjtFs1IjMVbvCfNUQvyykmfNYMIrC0+9nLK9tcPrcNM88d5gjx06ysrbOYDDY7immI5EiIiIiInKn2ej2+eqBV1nv9PmvP/wEhme9m3Hk8jKDQc5TD04y0ayRe08Rcizvcml6icceuY93v2sPk+N1JlopwWcUmWeQe3yaEjCiyNjsdJlbXKdWS/jK17/Fs8+8qCLYPUI9wkRugf6gYGZ+jSNT85xYWKfjoSAQqt5ehEBkRi2JGWuktNKIOM9YX1jiwoVpFpbW6A/KY41FUVDk5S3P87In2CCn0+0zv7zK0eMX+cPvHOTlV46xtLzKoN9XEUxERERERO54m90+B89OsbjZZq2bcXxmhf4g54n7d/DofZPsGquzZ7zBymafsbxDtrjAuYtz1JKINDKiKCKqtUgbYwRLuDK/RnfgyYOxY7zJ4w/v4dArh3j66WdYWFwe9ocrt4l2hIncIv2s4MrCOpGLcM7x+K4WNQvgt4afuO0jkiEEXD+jnw9YuXqVS1MTpGnKLjNq1YQU8+X59XIbb87Kepvjp2b43oEjHHv1BOsbm+R5RvCBrTPwIiIiIiIid7Iryxt89tuH+St/4il2t2rUHexqxjiDqmsYUeTY7PZ5oNnj/LFzTDQTPvbUI9QaDTDDOaNWS5lb2iRYxKMP72F5vc+Xv/KH/L+f/Qqbm9oJdi9RIUzkFuoPcmbmV3HOiKL9PLZrjBiPhUBEKPt/VeNPnEGcFWT9HoszV2g2WwQidowH0tTjXDnZJMsLVtc7nDo3xwsvvcrx4ydZW1unKPLtHWDaCSYiIiIiIneLs7OLPH/6In/qfY/ywI5J6qkrm+AHyApPu5cxVk9oRoH7fZtTR8/RSB0feqpGvZUQzBEI9DPP2maX5bUe/+Sff5bvP/8imxubw/7w5DZTIewuVxbJTYWRIer2M6auruCcI05iHptsERU5FOVWL+cclsQ4M+IoZ5AVFBsbLF+5Quxi8mI3rWZKFBt54VlZa3Npepmjx85z4sQpVlfXyIu8bKQfQI3xRURERETkbnPg1GVc1OCvfOxRosiRe89aN2N2pUvsjL1jKc6g4Tx5Z5XDh8/RaDZ44vFHiJOE89OLzK9ssLqxwTe+8Qxf/r0/UJ58j1Ih7C5X1kX0xT1svX7GhZkloiii9r6HeWCsTmQ5VoAPAYsinBnmDLPym3p3ZZklIBtktHbuxCUR65tdrl5dYWpqnqPHjrK8vFTtBAMVwERERERE5G41yAqeO3aayOAvfuQJapFjrJbwyG4jduWtyHOywpO6iM7yEs+/eAaLU6I4ZmG1Qy2O+NznvsSRo8dVBLuHqRAmcpv0BxnnLs9TSxOiJx9kXzMhMo8V5SBgiyKSajqkz3KKwYDNlRWKoqDX65EldRaWNrk8NcepUydYXJinKIphf1giIiIiIiK3RV4UPPvqacZS+OQH30USRcQuwfA4wMcpSYD17gAGXbL5OQ4eafKn/uRT1NMe/+Y3v8TLB48M+8OQIVMhTOQ26vUzzlyao5bExI/dz55GWQzzRdnXy5nDOXAukOcFWX9Asb5BJ4f1IuXyzCIXLpxjcfHNi2Cm47AiIiIiInIXGmQF3zl2nl2tOh9/94M4wDCcOXwAM2ikMZeWO+ykw+bMFZ75Hnzz6e/y8ssqgokKYSK33Wany6lLV6mlMT/0yH1MphGRgc89wQcCEMzwGHnu8X7AYLDB5eUeU9PTLC0tkGXZm74PFcFERERERORutd7p841XzvDeh+5jVzMt86iqeT6UGwO8h0GWM5F3+dLv/j5HT50faswyOtywAxC514QAq+ttTl68yqnZZTpFAGflVMgQKApPUQRyH8gC9LKC2cU1Zq/Osra6QjYYDPtDEBERERERGar51U3+2Veeod3rAY4Qym1vImUAAAjySURBVAIYwEYvozvICQSeO3aWk+cuDTdYGSkqhIkMgfeBhaV1jp+/ypn5NfqhLIYFoPCe3HtyHxgUgbVun9nFJVZXVuj1emqJLyIiIiIiAiyud/i1773KRg7Byh5iC+tdppfbpEnEy+dn+N7JC2S5eivLNSqEiQxJ4T1XF1c4eu4KZxfW6BU5GHggLzy9vGCj12d2eYXllVU63S7e+2GHLSIiIiIiMjKOnZ3l888eYrNfEMcReyYa7B6rcXLqCs8cO0+n/+ZtZeTeox5hIkOU5wUzc0vEkREe3cf+iRYheAa+oN3PmFtZZX5plXanS1Hkww5XRERERERkpIQQOHrxKg/umuSTTz3GzOomXz1wgotzi8MOTUaUCmEiQzYY5FyeXYIQaO+bZEezxko748rKBvPL62y0u+R5jvrfi4iIiIiI/HH9LOePDp9hZaPNxYVVphZWhh2SjDAbhelyZjb8IESGrJbGTI43SeKILC/oDTK6vYwsy9UX7B4VQrBhxyAiIiKjT/mUSMmZ4UegxiEj4+UQwo/ceFE7wkRGRH+QM7e0ThSVrfuKQv3ARERERERE3i4VweTtUCFMZMSoACYiIiIiIiJya2hqpIiIiIiIiIiI3BNUCBMRERERERERkXuCCmEiIiIiIiIiInJPUCFMRERERERERETuCSqEiYiIiIiIiIjIPUGFMBERERERERERuSeoECYiIiIiIiIiIvcEFcJEREREREREROSeoEKYiIiIiIiIiIjcE1QIExERERERERGRe4IKYSIiIiIiIiIick+Ihx1AZRFoVy9H1R5GOz5QjDfLqMc46vGBYrwZ3jXsAEREROSOcSfkUzD6v3+NenygGG+WUY9x1OODOyPG182pLIRwuwN5XWb2UgjhR4YdxxsZ9fhAMd4sox7jqMcHilFERETkdrsTfrcZ9RhHPT5QjDfLqMc46vHBnRHjG9HRSBERERERERERuSeoECYiIiIiIiIiIveEUSqEfXrYAbyFUY8PFOPNMuoxjnp8oBhFREREbrc74XebUY9x1OMDxXizjHqMox4f3Bkxvq6R6REmIiIiIiIiIiJyK43SjjAREREREREREZFbZuiFMDP7GTM7ZWZnzewXhx3PFjO7aGZHzeyQmb1UXdtlZk+b2Znq5c7bHNNnzGzezI5dd+11Y7LS/12t6xEz++gQY/xlM5up1vKQmf3sda/7pSrGU2b2529DfA+b2bfN7LiZvWpm/0N1fWTW8U1iHKV1rJvZC2Z2uIrxf62uP2ZmB6pYPm9maXW9Vv39bPX6R4cU36+b2YXr1vDD1fWhfL2IiIiIvFPKp36gmJRPvfP4lE/dnBhHOp96ixjv/JwqhDC0GxAB54DHgRQ4DHxgmDFdF9tFYM8N1/4v4Ber+78I/J+3OaafAD4KHHurmICfBf4TYMAngANDjPGXgf/pdR77gepzXgMeq/4tRLc4vv3AR6v748DpKo6RWcc3iXGU1tGAsep+Ahyo1ucLwM9X1/8d8Peq+38f+HfV/Z8HPj+k+H4d+LnXefxQvl5000033XTTTTfd3slN+dQPHJPyqXcen/KpmxPjSOdTbxHjHZ9TDXtH2MeBsyGE8yGEAfA7wKeGHNOb+RTw2er+Z4G/dDvfeQjhu8Dy24zpU8BvhNL3gUkz2z+kGN/Ip4DfCSH0QwgXgLOU/yZumRDCbAjhYHV/AzgBPMgIreObxPhGhrGOIYSwWf01qW4B+CTwxer6jeu4tb5fBH7SzGwI8b2RoXy9iIiIiLxDyqd+AMqn3jnlUzctxpHOp94ixjdyx+RUwy6EPQhcvu7v07z5P9DbKQD/2cxeNrO/U13bF0KYre5fBfYNJ7TXeKOYRm1t/0G1PfIz122BHmqM1XbSj1BWtkdyHW+IEUZoHc0sMrNDwDzwNOUzJ6shhPx14tiOsXr9GrD7dsYXQthaw39creG/MLPajfG9TuwiIiIio2qUf4dRPnVzjUwesEX51DuObaTzqdeL8W7JqYZdCBtlPx5C+CjwF4BfMLOfuP6VIYTAm1dDb7tRjKnyK8ATwIeBWeCfDTccMLMx4HeB/zGEsH7960ZlHV8nxpFaxxBCEUL4MPAQ5TMm7xtmPDe6MT4zewr4Jco4fxTYBfzDIYYoIiIicjdTPnXzjFQeAMqnboZRz6fg7s2phl0ImwEevu7vD1XXhi6EMFO9nAe+TPkPc25ra1/1cn54EW57o5hGZm1DCHPVF5AH/j3XtpkOJUYzSyi/If5WCOFL1eWRWsfXi3HU1nFLCGEV+DbwJyi3v8avE8d2jNXrdwBLtzm+n6m2SYcQQh/4NUZkDUVERET+C43s7zDKp26eUcsDlE/dXKOeT90Q412RUw27EPYi8GQ1GSGlbPr21SHHhJm1zGx86z7w08Axytj+RvWwvwF8ZTgRvsYbxfRV4K9Xkxs+Aaxdt1X1trrhXPBfplxLKGP8+WoCxmPAk8ALtzgWA34VOBFC+OfXvWpk1vGNYhyxddxrZpPV/Qbw5yjP3n8b+LnqYTeu49b6/hzwR9UzRbczvpPX/XA2yvP216/hSHy9iIiIiPwAlE+9cyOTB7yREcsDlE/dnBhHOp96kxjvipwqfuuH3DohhNzM/gHwB5QTTz4TQnh1mDFV9gFfLj+vxMBvhxC+aWYvAl8ws78NXAL+6u0Mysz+A/BngD1mNg38I+CfvEFM36Cc2nAW6AB/a4gx/hkrR6oGyukx/z1ACOFVM/sCcBzIgV8IIRS3OMQfA/474Gh11hngf2G01vGNYvxrI7SO+4HPmllEWVD/Qgjh62Z2HPgdM/s/gFcofwBRvfycmZ2lbP7580OK74/MbC/lJJNDwN+tHj+UrxcRERGRd0L51A9G+dRNoXzq5hj1fOrNYrzjcyq7xUVEERERERERERGRkTDso5EiIiIiIiIiIiK3hQphIiIiIiIiIiJyT1AhTERERERERERE7gkqhImIiIiIiIiIyD1BhTAREREREREREbknqBAmIiIiIiIiIiL3BBXCRERERERERETknqBCmIiIiIiIiIiI3BP+f7NQ4+HU+aBXAAAAAElFTkSuQmCC\n"
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "VPjqWAvbGQks",
        "colab_type": "text"
      },
      "source": [
        "# Grid Search"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "6gPSdBOzrkmB",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "#@title Train Models\n",
        "disable_jit = False #@param {type:\"boolean\"}\n",
        "\n",
        "live_plot = True #@param {type:\"boolean\"}\n",
        "reset_plots = True #@param {type:\"boolean\"}\n",
        "\n",
        "#@markdown ##Network Params\n",
        "lr =  5e-4#@param\n",
        "batch_size = 1024 #@param\n",
        "N_samples = 128 #@param\n",
        "training_steps =  50000#@param\n",
        "num_layers =  4#@param\n",
        "layer_width = 256 #@param\n",
        "stratified_sampling = True #@param {type:\"boolean\"}\n",
        "\n",
        "#@markdown ##Encoder Params\n",
        "embedding_size = 256 #@param\n",
        "#@markdown gaussian_scales should be a list of scales (things like np.arange(...) allowed)\n",
        "gaussian_scales = [8,12,14,15,16,17,18,19,20,21,22,23,24,26,28,32] #@param\n",
        "\n",
        "config.update('jax_disable_jit', disable_jit)\n",
        "\n",
        "init_fn, apply_fn = make_network(num_layers, layer_width)\n",
        "\n",
        "enc_dict = {}\n",
        "\n",
        "bvals = random.normal(rng, (embedding_size, 3))\n",
        "avals = np.ones((bvals.shape[0]))\n",
        "for scale in gaussian_scales:\n",
        "    enc_dict['gaussian_%.2f' % scale] = (avals, bvals * scale)\n",
        "\n",
        "if live_plot:\n",
        "    if reset_plots:\n",
        "        plt_groups = {'PSNR':[]}\n",
        "        # plotlosses_model = PlotLosses()\n",
        "        plotlosses_model = PlotLosses(groups=plt_groups)\n",
        "else:\n",
        "    plt_groups = None\n",
        "\n",
        "if reset_plots:\n",
        "    outputs = {}\n",
        "if include_no_encoding:\n",
        "    outputs['no_encoding'] = train_model(lr, training_steps, None, None, stratified_sampling, name='no encoding', plot_groups=plt_groups)\n",
        "\n",
        "grid_psnrs = []\n",
        "for k in tqdm(enc_dict, leave=False):\n",
        "    out = train_model(lr, training_steps, *enc_dict[k], stratified_sampling, name=k, plot_groups=plt_groups)\n",
        "    grid_psnrs.append(out['psnrs'][-1])\n",
        "\n",
        "plt.plot(gaussian_scales, grid_psnrs)\n",
        "print('best scale', gaussian_scales[np.argmax(np.array(grid_psnrs))])\n"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Y_oQqrCp3sGe",
        "colab_type": "text"
      },
      "source": [
        "# Paper Experiments"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "vjp2aLOw2iVO",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 462,
          "referenced_widgets": [
            "4f3ed598af02489b8bb83eb0d14af6e2",
            "898d490643e24e77946baaf7a1cb1feb",
            "f87f4de4aa0c49099c937402c101b4c9",
            "d0d20d2ec1614001a454d737b0bb1e9f",
            "0c5b4cc64796439a817beefcdb3a66ca",
            "ce85b9b36c9848168efcefa05cabea95",
            "ffb26aeb3b7241db9d89b071851ffb40",
            "f4d73aae47fc4d77b98f137771bcfdc4"
          ]
        },
        "outputId": "a2455213-f1b7-4058-df11-9c60cca79067"
      },
      "source": [
        "live_plot = True\n",
        "reset_plots = True\n",
        "\n",
        "training_steps = 50000\n",
        "\n",
        "lr =  5e-4\n",
        "lr_no_encoding = 1e-2\n",
        "lr_basic = 5e-3\n",
        "\n",
        "batch_size = 1024\n",
        "N_samples = 128\n",
        "num_layers =  4\n",
        "layer_width = 256\n",
        "stratified_sampling = True\n",
        "\n",
        "embedding_size = 256\n",
        "max_posenc_log_scale = 8\n",
        "gaussian_scale = 26\n",
        "\n",
        "init_fn, apply_fn = make_network(num_layers, layer_width)\n",
        "\n",
        "enc_dict = {}\n",
        "\n",
        "bvals = np.eye(3)\n",
        "avals = np.ones((bvals.shape[0])) \n",
        "enc_dict['basic'] = (avals, bvals)\n",
        "\n",
        "bvals = 2.**np.arange(max_posenc_log_scale+1)\n",
        "bvals = np.reshape(np.eye(3)*bvals[:,None,None], [len(bvals)*3, 3])\n",
        "avals = np.ones((bvals.shape[0])) \n",
        "enc_dict['posenc'] = (avals, bvals)\n",
        "\n",
        "bvals = 2.**np.arange(max_posenc_log_scale+1)\n",
        "bvals = np.reshape(np.eye(3)*bvals[:,None,None], [len(bvals)*3, 3])\n",
        "avals = np.ones((bvals.shape[0])) \n",
        "rot = np.array([[(2**.5)/2,-(2**.5)/2,0],[(2**.5)/2,(2**.5)/2,0],[0,0,1]])\n",
        "bvals = bvals @ rot.T\n",
        "rot = np.array([[1,0,0],[0,(2**.5)/2,-(2**.5)/2],[0,(2**.5)/2,(2**.5)/2]])\n",
        "bvals = bvals @ rot.T\n",
        "enc_dict['posenc_rotated'] = (avals, bvals)\n",
        "\n",
        "bvals = 2.**np.linspace(0,max_posenc_log_scale,embedding_size//3) - 1\n",
        "bvals = np.reshape(np.eye(3)*bvals[:,None,None], [len(bvals)*3, 3])\n",
        "avals = np.ones((bvals.shape[0]))\n",
        "enc_dict['posenc_new'] = (avals, bvals)\n",
        "\n",
        "bvals = 2.**np.linspace(0,max_posenc_log_scale,embedding_size//3) - 1\n",
        "bvals = np.reshape(np.eye(3)*bvals[:,None,None], [len(bvals)*3, 3])\n",
        "rot = np.array([[(2**.5)/2,-(2**.5)/2,0],[(2**.5)/2,(2**.5)/2,0],[0,0,1]])\n",
        "bvals = bvals @ rot.T\n",
        "rot = np.array([[1,0,0],[0,(2**.5)/2,-(2**.5)/2],[0,(2**.5)/2,(2**.5)/2]])\n",
        "bvals = bvals @ rot.T\n",
        "enc_dict['posenc_new_rotated'] = (avals, bvals)\n",
        "\n",
        "bvals = random.normal(rng, (embedding_size, 3))\n",
        "avals = np.ones((bvals.shape[0]))\n",
        "enc_dict[f'gaussian_{gaussian_scale}'] = (avals, bvals * gaussian_scale)\n",
        "\n",
        "if live_plot:\n",
        "    if reset_plots:\n",
        "        plt_groups = {'PSNR':[]}\n",
        "        plotlosses_model = PlotLosses(groups=plt_groups)\n",
        "else:\n",
        "    plt_groups = None\n",
        "\n",
        "if reset_plots:\n",
        "    outputs_paper = {}\n",
        "\n",
        "outputs_paper['no_encoding'] = train_model(lr_no_encoding, training_steps, None, None, stratified_sampling, name='no encodings', plot_groups=plt_groups)\n",
        "\n",
        "for k in tqdm(enc_dict, leave=False):\n",
        "    if 'basic' in k:\n",
        "        exp_lr = lr_basic\n",
        "    else:\n",
        "        exp_lr = lr\n",
        "    outputs_paper[k] = train_model(exp_lr, training_steps, *enc_dict[k], stratified_sampling, name=k, plot_groups=plt_groups)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 864x576 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        },
        {
          "output_type": "stream",
          "text": [
            "PSNR\n",
            "\tno encodings     \t (min:    8.809, max:   22.417, cur:   22.231)\n",
            "\tbasic            \t (min:    7.416, max:   22.882, cur:   22.882)\n",
            "\tposenc           \t (min:    7.428, max:   25.560, cur:   25.560)\n",
            "\tposenc_rotated   \t (min:    7.472, max:   24.879, cur:   24.879)\n",
            "\tposenc_new       \t (min:    1.000, max:   26.243, cur:   26.087)\n",
            "\tposenc_new_rotated \t (min:    7.154, max:   25.358, cur:   25.317)\n",
            "\tgaussian_26      \t (min:    7.162, max:   25.428, cur:   25.340)\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "PRyxgtqgIgg9",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 493
        },
        "outputId": "18159295-b56f-40c4-bc5d-8af64e0ac9c0"
      },
      "source": [
        "import imageio\n",
        "for k in outputs_paper:\n",
        "    psnr = []\n",
        "    num_test = test_poses.shape[0]\n",
        "    state = outputs_paper[k]['state']\n",
        "    avals = outputs_paper[k]['avals']\n",
        "    bvals = outputs_paper[k]['bvals']\n",
        "    for v in range(num_test):\n",
        "        rays = get_rays(H, W, focal, test_poses[v,...])\n",
        "        rng, key = random.split(rng)\n",
        "        rgb, depth, acc = render_fn(state, avals, bvals, key, rays, False)\n",
        "        \n",
        "        loss = np.mean(np.square(rgb - test_images[v,...]))\n",
        "        psnr.append(-10. * np.log10(loss))\n",
        "        if v in [1,4,6]:\n",
        "            imageio.imwrite(f'nerf_{k}_{v}.png', rgb)\n",
        "    psnr_mean = np.mean(np.array(psnr))\n",
        "    psnr_std = np.std(np.array(psnr))\n",
        "    print(f'    {k}:             %.3f,    std: %.3f' % (psnr_mean, psnr_std))"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "WARNING:imageio:Lossy conversion from float32 to uint8. Range [0, 1]. Convert image to uint8 prior to saving to suppress this warning.\n",
            "WARNING:imageio:Lossy conversion from float32 to uint8. Range [0, 1]. Convert image to uint8 prior to saving to suppress this warning.\n",
            "WARNING:imageio:Lossy conversion from float32 to uint8. Range [0, 1]. Convert image to uint8 prior to saving to suppress this warning.\n"
          ],
          "name": "stderr"
        },
        {
          "output_type": "stream",
          "text": [
            "    no_encoding:             22.405,    std: 0.919\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "stream",
          "text": [
            "WARNING:imageio:Lossy conversion from float32 to uint8. Range [0, 1]. Convert image to uint8 prior to saving to suppress this warning.\n",
            "WARNING:imageio:Lossy conversion from float32 to uint8. Range [0, 1]. Convert image to uint8 prior to saving to suppress this warning.\n",
            "WARNING:imageio:Lossy conversion from float32 to uint8. Range [0, 1]. Convert image to uint8 prior to saving to suppress this warning.\n"
          ],
          "name": "stderr"
        },
        {
          "output_type": "stream",
          "text": [
            "    basic:             23.157,    std: 0.903\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "stream",
          "text": [
            "WARNING:imageio:Lossy conversion from float32 to uint8. Range [0, 1]. Convert image to uint8 prior to saving to suppress this warning.\n",
            "WARNING:imageio:Lossy conversion from float32 to uint8. Range [0, 1]. Convert image to uint8 prior to saving to suppress this warning.\n",
            "WARNING:imageio:Lossy conversion from float32 to uint8. Range [0, 1]. Convert image to uint8 prior to saving to suppress this warning.\n"
          ],
          "name": "stderr"
        },
        {
          "output_type": "stream",
          "text": [
            "    posenc:             25.598,    std: 0.762\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "stream",
          "text": [
            "WARNING:imageio:Lossy conversion from float32 to uint8. Range [0, 1]. Convert image to uint8 prior to saving to suppress this warning.\n",
            "WARNING:imageio:Lossy conversion from float32 to uint8. Range [0, 1]. Convert image to uint8 prior to saving to suppress this warning.\n",
            "WARNING:imageio:Lossy conversion from float32 to uint8. Range [0, 1]. Convert image to uint8 prior to saving to suppress this warning.\n"
          ],
          "name": "stderr"
        },
        {
          "output_type": "stream",
          "text": [
            "    posenc_rotated:             24.805,    std: 0.882\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "stream",
          "text": [
            "WARNING:imageio:Lossy conversion from float32 to uint8. Range [0, 1]. Convert image to uint8 prior to saving to suppress this warning.\n",
            "WARNING:imageio:Lossy conversion from float32 to uint8. Range [0, 1]. Convert image to uint8 prior to saving to suppress this warning.\n",
            "WARNING:imageio:Lossy conversion from float32 to uint8. Range [0, 1]. Convert image to uint8 prior to saving to suppress this warning.\n"
          ],
          "name": "stderr"
        },
        {
          "output_type": "stream",
          "text": [
            "    posenc_new:             26.265,    std: 0.911\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "stream",
          "text": [
            "WARNING:imageio:Lossy conversion from float32 to uint8. Range [0, 1]. Convert image to uint8 prior to saving to suppress this warning.\n",
            "WARNING:imageio:Lossy conversion from float32 to uint8. Range [0, 1]. Convert image to uint8 prior to saving to suppress this warning.\n",
            "WARNING:imageio:Lossy conversion from float32 to uint8. Range [0, 1]. Convert image to uint8 prior to saving to suppress this warning.\n"
          ],
          "name": "stderr"
        },
        {
          "output_type": "stream",
          "text": [
            "    posenc_new_rotated:             25.280,    std: 0.826\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "stream",
          "text": [
            "WARNING:imageio:Lossy conversion from float32 to uint8. Range [0, 1]. Convert image to uint8 prior to saving to suppress this warning.\n",
            "WARNING:imageio:Lossy conversion from float32 to uint8. Range [0, 1]. Convert image to uint8 prior to saving to suppress this warning.\n",
            "WARNING:imageio:Lossy conversion from float32 to uint8. Range [0, 1]. Convert image to uint8 prior to saving to suppress this warning.\n"
          ],
          "name": "stderr"
        },
        {
          "output_type": "stream",
          "text": [
            "    gaussian_26:             25.475,    std: 0.891\n"
          ],
          "name": "stdout"
        }
      ]
    }
  ]
}